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https://api.github.com/repos/huggingface/datasets/issues/865 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/865/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/865/comments | https://api.github.com/repos/huggingface/datasets/issues/865/events | https://github.com/huggingface/datasets/issues/865 | 745,430,497 | MDU6SXNzdWU3NDU0MzA0OTc= | 865 | Have Trouble importing `datasets` | {
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"I'm sorry, this was a problem with my environment.\r\nNow that I have identified the cause of environmental dependency, I would like to fix it and try it.\r\nExcuse me for making a noise."
] | 2020-11-18T08:04:41Z | 2020-11-18T08:16:35Z | 2020-11-18T08:16:35Z | CONTRIBUTOR | null | null | {
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} | I'm failing to import transformers (v4.0.0-dev), and tracing the cause seems to be failing to import datasets.
I cloned the newest version of datasets (master branch), and do `pip install -e .`.
Then, `import datasets` causes the error below.
```
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"Same error here!\r\n",
"Same here! My kaggle notebook stopped working like yesterday. It's strange because I have fixed version of datasets==1.1.2",
"I'm looking at it right now",
"I couldn't reproduce unfortunately. I tried\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nload_dataset(\"cnn_dailymai... | 2020-11-18T04:38:02Z | 2020-11-20T05:22:11Z | 2020-11-20T05:22:10Z | NONE | null | null | {
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} | ### Script to reproduce the error
```
from datasets import load_dataset
train_dataset = load_dataset("cnn_dailymail", "3.0.0", split= 'train[:10%')
valid_dataset = load_dataset("cnn_dailymail","3.0.0", split="validation[:5%]")
```
### Error
```
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"The preprocessing tokenizes the input text. Tokenization outputs `input_ids`, `attention_mask`, `token_type_ids` and `special_tokens_mask`. All those are of length`max_seq_length` because of padding. Therefore for each sample it generate 4 *`max_seq_length` integers. Currently they're all saved as int64. This is w... | 2020-11-17T13:48:59Z | 2021-03-30T14:04:04Z | 2021-03-22T12:04:55Z | NONE | null | null | {
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} | Hey guys,
I was trying to create a new bert model from scratch via _huggingface transformers + tokenizers + dataets_ (actually using this example script by your team: https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm.py). It was supposed to be a first test with a small 5 GB r... | {
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"We know host this file, so downloading should be more robust."
] | 2020-11-17T13:45:35Z | 2022-10-05T12:27:00Z | 2022-10-05T12:26:59Z | CONTRIBUTOR | null | null | {
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I am trying with wmt16, cs-en pair, thanks for the help, perhaps similar to the ro-en issue. thanks
split="train", n_obs=data_args.n_train) for task in data_args.task}
File "finetune_t5_trainer.py", line 109, in <dictcomp>
split="train", n_obs=data_args.n_train) for task in data_args.task}
File "/hom... | {
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"Hi,I also posted it to the forum, but this is a bug, perhaps it needs to be reported here? thanks ",
"It looks like the official OPUS server for WMT16 doesn't provide the data files anymore (503 error).\r\nI searched a bit and couldn't find a mirror except maybe http://nlp.ffzg.hr/resources/corpora/setimes/ (the... | 2020-11-16T09:31:51Z | 2022-10-05T12:27:42Z | 2022-10-05T12:27:42Z | CONTRIBUTOR | null | null | {
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>>> from datasets import load_dataset
>>> dataset = load_dataset("wmt16", "ro-en", split="train")
Downloading and preparing dataset wmt16/ro-en (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /root/... | {
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"Unfortunately `concatenate_datasets` only supports concatenating the rows, while what you want to achieve is concatenate the columns.\r\nCurrently to add more columns to a dataset, one must use `map`.\r\nWhat you can do is somehting like this:\r\n```python\r\n# suppose you have datasets d1, d2, d3\r\ndef add_colum... | 2020-11-16T02:46:23Z | 2021-04-19T16:07:18Z | 2021-04-19T16:07:18Z | NONE | null | null | {
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>>> from datasets import load_dataset
>>> dataset = load_dataset("wmt16", "ro-en", split="train")
Downloading and preparing dataset wmt16/ro-en (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /root/... | {
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https://api.github.com/repos/huggingface/datasets/issues/849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/849/comments | https://api.github.com/repos/huggingface/datasets/issues/849/events | https://github.com/huggingface/datasets/issues/849 | 742,263,333 | MDU6SXNzdWU3NDIyNjMzMzM= | 849 | Load amazon dataset | {
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"Thanks for reporting !\r\nWe plan to show information about the different configs of the datasets on the website, with the corresponding `load_dataset` calls.\r\n\r\nAlso I think the bullet points formatting has been fixed"
] | 2020-11-13T08:34:24Z | 2020-11-17T07:22:59Z | 2020-11-17T07:22:59Z | CONTRIBUTOR | null | null | {
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I was going through amazon_us_reviews dataset and found that example API usage given on website is different from the API usage while loading dataset.
Eg. what API usage is on the [website](https://huggingface.co/datasets/amazon_us_reviews)
```
from datasets import load_dataset
dataset = load_dataset("amaz... | {
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https://api.github.com/repos/huggingface/datasets/issues/848 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/848/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/848/comments | https://api.github.com/repos/huggingface/datasets/issues/848/events | https://github.com/huggingface/datasets/issues/848 | 742,240,942 | MDU6SXNzdWU3NDIyNDA5NDI= | 848 | Error when concatenate_datasets | {
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"As you can see in the error the test checks if `indices_mappings_in_memory` is True or not, which is different from the test you do in your script. In a dataset, both the data and the indices mapping can be either on disk or in memory.\r\n\r\nThe indices mapping correspond to a mapping on top of the data table tha... | 2020-11-13T07:56:02Z | 2020-11-13T17:40:59Z | 2020-11-13T15:55:10Z | NONE | null | null | {
"completed": 0,
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} | Hello, when I concatenate two dataset loading from disk, I encountered a problem:
```
test_dataset = load_from_disk('data/test_dataset')
trn_dataset = load_from_disk('data/train_dataset')
train_dataset = concatenate_datasets([trn_dataset, test_dataset])
```
And it reported ValueError blow:
```
--------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/847 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/847/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/847/comments | https://api.github.com/repos/huggingface/datasets/issues/847/events | https://github.com/huggingface/datasets/issues/847 | 742,179,495 | MDU6SXNzdWU3NDIxNzk0OTU= | 847 | multiprocessing in dataset map "can only test a child process" | {
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"It looks like an issue with wandb/tqdm here.\r\nWe're using the `multiprocess` library instead of the `multiprocessing` builtin python package to support various types of mapping functions. Maybe there's some sort of incompatibility.\r\n\r\nCould you make a minimal script to reproduce or a google colab ?",
"hi f... | 2020-11-13T06:01:04Z | 2022-10-05T12:22:51Z | 2022-10-05T12:22:51Z | NONE | null | null | {
"completed": 0,
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} | Using a dataset with a single 'text' field and a fast tokenizer in a jupyter notebook.
```
def tokenizer_fn(example):
return tokenizer.batch_encode_plus(example['text'])
ds_tokenized = text_dataset.map(tokenizer_fn, batched=True, num_proc=6, remove_columns=['text'])
```
```
-------------------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/846 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/846/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/846/comments | https://api.github.com/repos/huggingface/datasets/issues/846/events | https://github.com/huggingface/datasets/issues/846 | 741,885,174 | MDU6SXNzdWU3NDE4ODUxNzQ= | 846 | Add HoVer multi-hop fact verification dataset | {
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] | closed | false | null | [] | null | [
"Hi @yjernite I'm new but wanted to contribute. Has anyone already taken this problem and do you think it is suitable for newbies?",
"Hi @tenjjin! This dataset is still up for grabs! Here's the link with the guide to add it. You should play around with the library first (download and look at a few datasets), the... | 2020-11-12T19:55:46Z | 2020-12-10T21:47:33Z | 2020-12-10T21:47:33Z | MEMBER | null | null | {
"completed": 0,
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} | ## Adding a Dataset
- **Name:** HoVer
- **Description:** https://twitter.com/YichenJiang9/status/1326954363806429186 contains 20K claim verification examples
- **Paper:** https://arxiv.org/abs/2011.03088
- **Data:** https://hover-nlp.github.io/
- **Motivation:** There are still few multi-hop information extraction... | {
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https://api.github.com/repos/huggingface/datasets/issues/843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/843/comments | https://api.github.com/repos/huggingface/datasets/issues/843/events | https://github.com/huggingface/datasets/issues/843 | 741,531,121 | MDU6SXNzdWU3NDE1MzExMjE= | 843 | use_custom_baseline still produces errors for bertscore | {
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{
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"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
"node_id": "MDU6TGFiZWwyMDY3MzkzOTE0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/metric%20bug"
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"Thanks for reporting ! That's a bug indeed\r\nIf you want to contribute, feel free to fix this issue and open a PR :)",
"This error is because of a mismatch between `datasets` and `bert_score`. With `datasets=1.1.2` and `bert_score>=0.3.6` it works ok. So `pip install -U bert_score` should fix the problem. ",
... | 2020-11-12T11:44:32Z | 2024-05-28T16:30:17Z | 2021-02-09T14:21:48Z | NONE | null | null | {
"completed": 0,
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} | `metric = load_metric('bertscore')`
`a1 = "random sentences"`
`b1 = "random sentences"`
`metric.compute(predictions = [a1], references = [b1], lang = 'en')`
`Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/stephen_chan/.local/lib/python3.6/site-packages/datasets/metric.py"... | {
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https://api.github.com/repos/huggingface/datasets/issues/841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/841/comments | https://api.github.com/repos/huggingface/datasets/issues/841/events | https://github.com/huggingface/datasets/issues/841 | 740,737,448 | MDU6SXNzdWU3NDA3Mzc0NDg= | 841 | Can not reuse datasets already downloaded | {
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"It seems the process needs '/datasets.huggingface.co/datasets/datasets/wikipedia/wikipedia.py'\r\nWhere and how to assign this ```wikipedia.py``` after I manually download it ?",
"\r\ndownload the ```wikipedia.py``` at the working directory and go with ```dataset = load_dataset('wikipedia.py', '20200501.en')``` ... | 2020-11-11T12:42:15Z | 2020-11-11T18:17:16Z | 2020-11-11T18:17:16Z | NONE | null | null | {
"completed": 0,
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} | Hello,
I need to connect to a frontal node (with http proxy, no gpu) before connecting to a gpu node (but no http proxy, so can not use wget so on).
I successfully downloaded and reuse the wikipedia datasets in a frontal node.
When I connect to the gpu node, I supposed to use the downloaded datasets from cache, but... | {
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https://api.github.com/repos/huggingface/datasets/issues/836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/836/comments | https://api.github.com/repos/huggingface/datasets/issues/836/events | https://github.com/huggingface/datasets/issues/836 | 740,187,613 | MDU6SXNzdWU3NDAxODc2MTM= | 836 | load_dataset with 'csv' is not working. while the same file is loading with 'text' mode or with pandas | {
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"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
}
] | closed | false | null | [] | null | [
"Which version of pyarrow do you have ? Could you try to update pyarrow and try again ?",
"Thanks for the fast response. I have the latest version '2.0.0' (I tried to update)\r\nI am working with Python 3.8.5",
"I think that the issue is similar to this one:https://issues.apache.org/jira/browse/ARROW-9612\r\nTh... | 2020-11-10T19:35:40Z | 2021-11-24T16:59:19Z | 2020-11-19T17:35:38Z | NONE | null | null | {
"completed": 0,
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} | Hi All
I am trying to load a custom dataset and I am trying to load a single file to make sure the file is loading correctly:
dataset = load_dataset('csv', data_files=files)
When I run it I get:
Downloading and preparing dataset csv/default-35575a1051604c88 (download: Unknown size, generated: Unknown size, post-... | {
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https://api.github.com/repos/huggingface/datasets/issues/835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/835/comments | https://api.github.com/repos/huggingface/datasets/issues/835/events | https://github.com/huggingface/datasets/issues/835 | 740,102,210 | MDU6SXNzdWU3NDAxMDIyMTA= | 835 | Wikipedia postprocessing | {
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"Hi @bminixhofer ! Parsing WikiMedia is notoriously difficult: this processing used [mwparserfromhell](https://github.com/earwig/mwparserfromhell) which is pretty good but not perfect.\r\n\r\nAs an alternative, you can also use the Wiki40b dataset which was pre-processed using an un-released Google internal tool",
... | 2020-11-10T17:26:38Z | 2020-11-10T18:23:20Z | 2020-11-10T17:49:21Z | NONE | null | null | {
"completed": 0,
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} | Hi, thanks for this library!
Running this code:
```py
import datasets
wikipedia = datasets.load_dataset("wikipedia", "20200501.de")
print(wikipedia['train']['text'][0])
```
I get:
```
mini|Ricardo Flores Magón
mini|Mexikanische Revolutionäre, Magón in der Mitte anführend, gegen die Diktatur von Porfir... | {
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https://api.github.com/repos/huggingface/datasets/issues/834 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/834/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/834/comments | https://api.github.com/repos/huggingface/datasets/issues/834/events | https://github.com/huggingface/datasets/issues/834 | 740,082,890 | MDU6SXNzdWU3NDAwODI4OTA= | 834 | [GEM] add WikiLingua cross-lingual abstractive summarization dataset | {
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"Hey @yjernite. This is a very interesting dataset. Would love to work on adding it but I see that the link to the data is to a gdrive folder. Can I just confirm wether dlmanager can handle gdrive urls or would this have to be a manual dl?",
"Hi @KMFODA ! A version of WikiLingua is actually already accessible in ... | 2020-11-10T17:00:43Z | 2021-04-15T12:04:09Z | 2021-04-15T12:01:38Z | MEMBER | null | null | {
"completed": 0,
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} | ## Adding a Dataset
- **Name:** WikiLingua
- **Description:** The dataset includes ~770k article and summary pairs in 18 languages from WikiHow. The gold-standard article-summary alignments across languages were extracted by aligning the images that are used to describe each how-to step in an article.
- **Paper:** h... | {
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https://api.github.com/repos/huggingface/datasets/issues/833 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/833/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/833/comments | https://api.github.com/repos/huggingface/datasets/issues/833/events | https://github.com/huggingface/datasets/issues/833 | 740,079,692 | MDU6SXNzdWU3NDAwNzk2OTI= | 833 | [GEM] add ASSET text simplification dataset | {
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] | closed | false | null | [] | null | [] | 2020-11-10T16:56:30Z | 2020-12-03T13:38:15Z | 2020-12-03T13:38:15Z | MEMBER | null | null | {
"completed": 0,
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} | ## Adding a Dataset
- **Name:** ASSET
- **Description:** ASSET is a crowdsourced
multi-reference corpus for assessing sentence simplification in English where each simplification was produced by executing several rewriting transformations.
- **Paper:** https://www.aclweb.org/anthology/2020.acl-main.424.pdf
- **Dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/832/comments | https://api.github.com/repos/huggingface/datasets/issues/832/events | https://github.com/huggingface/datasets/issues/832 | 740,077,228 | MDU6SXNzdWU3NDAwNzcyMjg= | 832 | [GEM] add WikiAuto text simplification dataset | {
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"completed": 0,
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} | ## Adding a Dataset
- **Name:** WikiAuto
- **Description:** Sentences in English Wikipedia and their corresponding sentences in Simple English Wikipedia that are written with simpler grammar and word choices. A lot of lexical and syntactic paraphrasing.
- **Paper:** https://www.aclweb.org/anthology/2020.acl-main.70... | {
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https://api.github.com/repos/huggingface/datasets/issues/831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/831/comments | https://api.github.com/repos/huggingface/datasets/issues/831/events | https://github.com/huggingface/datasets/issues/831 | 740,071,697 | MDU6SXNzdWU3NDAwNzE2OTc= | 831 | [GEM] Add WebNLG dataset | {
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"completed": 0,
"percent_completed": 0,
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} | ## Adding a Dataset
- **Name:** WebNLG
- **Description:** WebNLG consists of Data/Text pairs where the data is a set of triples extracted from DBpedia and the text is a verbalisation of these triples (16,095 data inputs and 42,873 data-text pairs). The data is available in English and Russian
- **Paper:** https://ww... | {
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https://api.github.com/repos/huggingface/datasets/issues/830 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/830/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/830/comments | https://api.github.com/repos/huggingface/datasets/issues/830/events | https://github.com/huggingface/datasets/issues/830 | 740,065,376 | MDU6SXNzdWU3NDAwNjUzNzY= | 830 | [GEM] add ToTTo Table-to-text dataset | {
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"closed via #1098 "
] | 2020-11-10T16:38:34Z | 2020-12-10T13:06:02Z | 2020-12-10T13:06:01Z | MEMBER | null | null | {
"completed": 0,
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} | ## Adding a Dataset
- **Name:** ToTTo
- **Description:** ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.
- **Paper:** https://arxiv.o... | {
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https://api.github.com/repos/huggingface/datasets/issues/829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/829/comments | https://api.github.com/repos/huggingface/datasets/issues/829/events | https://github.com/huggingface/datasets/issues/829 | 740,061,699 | MDU6SXNzdWU3NDAwNjE2OTk= | 829 | [GEM] add Schema-Guided Dialogue | {
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] | closed | false | null | [] | null | [] | 2020-11-10T16:33:44Z | 2020-12-03T13:37:50Z | 2020-12-03T13:37:50Z | MEMBER | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ## Adding a Dataset
- **Name:** The Schema-Guided Dialogue Dataset
- **Description:** The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant. These conversations involve interactions with services and APIs spanning 20 d... | {
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https://api.github.com/repos/huggingface/datasets/issues/827 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/827/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/827/comments | https://api.github.com/repos/huggingface/datasets/issues/827/events | https://github.com/huggingface/datasets/issues/827 | 739,983,024 | MDU6SXNzdWU3Mzk5ODMwMjQ= | 827 | [GEM] MultiWOZ dialogue dataset | {
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"Hi @yjernite can I help in adding this dataset? \r\n\r\nI am excited about this because this will be my first contribution to the datasets library as well as to hugginface.",
"Resolved via https://github.com/huggingface/datasets/pull/979"
] | 2020-11-10T14:57:50Z | 2022-10-05T12:31:13Z | 2022-10-05T12:31:13Z | MEMBER | null | null | {
"completed": 0,
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} | ## Adding a Dataset
- **Name:** MultiWOZ (Multi-Domain Wizard-of-Oz)
- **Description:** 10k annotated human-human dialogues. Each dialogue consists of a goal, multiple user and system utterances as well as a belief state. Only system utterances are annotated with dialogue acts – there are no annotations from the user... | {
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https://api.github.com/repos/huggingface/datasets/issues/826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/826/comments | https://api.github.com/repos/huggingface/datasets/issues/826/events | https://github.com/huggingface/datasets/issues/826 | 739,976,716 | MDU6SXNzdWU3Mzk5NzY3MTY= | 826 | [GEM] Add E2E dataset | {
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"completed": 0,
"percent_completed": 0,
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} | ## Adding a Dataset
- **Name:** E2E NLG dataset (for End-to-end natural language generation)
- **Description:**a dataset for training end-to-end, datadriven natural language generation systems in the restaurant domain, the datasets consists of 5,751 dialogue-act Meaning Representations (structured data) and 8.1 refer... | {
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https://api.github.com/repos/huggingface/datasets/issues/824 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/824/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/824/comments | https://api.github.com/repos/huggingface/datasets/issues/824/events | https://github.com/huggingface/datasets/issues/824 | 739,896,526 | MDU6SXNzdWU3Mzk4OTY1MjY= | 824 | Discussion using datasets in offline mode | {
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"No comments ?",
"I think it would be very cool. I'm currently working on a cluster from Compute Canada, and I have internet access only when I'm not in the nodes where I run the scripts. So I was expecting to be able to use the wmt14 dataset until I realized I needed internet connection even if I downloaded the ... | 2020-11-10T13:10:51Z | 2023-10-26T09:26:26Z | 2022-02-15T10:32:36Z | NONE | null | null | {
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} | `datasets.load_dataset("csv", ...)` breaks if you have no connection (There is already this issue https://github.com/huggingface/datasets/issues/761 about it). It seems to be the same for metrics too.
I create this ticket to discuss a bit and gather what you have in mind or other propositions.
Here are some point... | {
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https://api.github.com/repos/huggingface/datasets/issues/823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/823/comments | https://api.github.com/repos/huggingface/datasets/issues/823/events | https://github.com/huggingface/datasets/issues/823 | 739,815,763 | MDU6SXNzdWU3Mzk4MTU3NjM= | 823 | how processing in batch works in datasets | {
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"Hi I don’t think this is a request for a dataset like you labeled it.\r\n\r\nI also think this would be better suited for the forum at https://discuss.huggingface.co. we try to keep the issue for the repo for bug reports and new features/dataset requests and have usage questions discussed on the forum. Thanks.",
... | 2020-11-10T11:11:17Z | 2020-11-10T13:11:10Z | 2020-11-10T13:11:09Z | NONE | null | null | {
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} | Hi,
I need to process my datasets before it is passed to dataloader in batch,
here is my codes
```
class AbstractTask(ABC):
task_name: str = NotImplemented
preprocessor: Callable = NotImplemented
split_to_data_split: Mapping[str, str] = NotImplemented
tokenizer: Callable = NotImplemented
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https://api.github.com/repos/huggingface/datasets/issues/822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/822/comments | https://api.github.com/repos/huggingface/datasets/issues/822/events | https://github.com/huggingface/datasets/issues/822 | 739,579,314 | MDU6SXNzdWU3Mzk1NzkzMTQ= | 822 | datasets freezes | {
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"Pytorch is unable to convert strings to tensors unfortunately.\r\nYou can use `set_format(type=\"torch\")` on columns that can be converted to tensors, such as token ids.\r\n\r\nThis makes me think that we should probably raise an error or at least a warning when one tries to create pytorch tensors out of text col... | 2020-11-10T05:10:19Z | 2023-07-20T16:08:14Z | 2023-07-20T16:08:13Z | NONE | null | null | {
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} | Hi, I want to load these two datasets and convert them to Dataset format in torch and the code freezes for me, could you have a look please? thanks
dataset1 = load_dataset("squad", split="train[:10]")
dataset1 = dataset1.set_format(type='torch', columns=['context', 'answers', 'question'])
dataset2 = load_datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/821/comments | https://api.github.com/repos/huggingface/datasets/issues/821/events | https://github.com/huggingface/datasets/issues/821 | 739,506,859 | MDU6SXNzdWU3Mzk1MDY4NTk= | 821 | `kor_nli` dataset doesn't being loaded properly | {
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} | There are two issues from `kor_nli` dataset
1. csv.DictReader failed to split features by tab
- Should not exist `None` value in label feature, but there it is.
```python
kor_nli_train['train'].unique('gold_label')
# ['neutral', 'entailment', 'contradiction', None]
```
-... | {
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https://api.github.com/repos/huggingface/datasets/issues/817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/817/comments | https://api.github.com/repos/huggingface/datasets/issues/817/events | https://github.com/huggingface/datasets/issues/817 | 739,145,369 | MDU6SXNzdWU3MzkxNDUzNjk= | 817 | Add MRQA dataset | {
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"Done! cf #1117 and #1022"
] | 2020-11-09T15:52:19Z | 2020-12-04T15:44:42Z | 2020-12-04T15:44:41Z | CONTRIBUTOR | null | null | {
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} | ## Adding a Dataset
- **Name:** MRQA
- **Description:** Collection of different (subsets of) QA datasets all converted to the same format to evaluate out-of-domain generalization (the datasets come from different domains, distributions, etc.). Some datasets are used for training and others are used for evaluation. Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/816/comments | https://api.github.com/repos/huggingface/datasets/issues/816/events | https://github.com/huggingface/datasets/issues/816 | 739,102,686 | MDU6SXNzdWU3MzkxMDI2ODY= | 816 | [Caching] Dill globalvars() output order is not deterministic and can cause cache issues. | {
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"To show the issue:\r\n```\r\npython -c \"from datasets.fingerprint import Hasher; a=[]; func = lambda : len(a); print(Hasher.hash(func))\"\r\n```\r\ndoesn't always return the same ouput since `globs` is a dictionary with \"a\" and \"len\" as keys but sometimes not in the same order"
] | 2020-11-09T15:01:20Z | 2020-11-11T15:20:50Z | 2020-11-11T15:20:50Z | MEMBER | null | null | {
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} | Dill uses `dill.detect.globalvars` to get the globals used by a function in a recursive dump. `globalvars` returns a dictionary of all the globals that a dumped function needs. However the order of the keys in this dict is not deterministic and can cause caching issues.
To fix that one could register an implementati... | {
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https://api.github.com/repos/huggingface/datasets/issues/815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/815/comments | https://api.github.com/repos/huggingface/datasets/issues/815/events | https://github.com/huggingface/datasets/issues/815 | 738,842,092 | MDU6SXNzdWU3Mzg4NDIwOTI= | 815 | Is dataset iterative or not? | {
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"Hello !\r\nCould you give more details ?\r\n\r\nIf you mean iter through one dataset then yes, `Dataset` object does implement the `__iter__` method so you can use \r\n```python\r\nfor example in dataset:\r\n # do something\r\n```\r\n\r\nIf you want to iter through several datasets you can first concatenate the... | 2020-11-09T09:11:48Z | 2020-11-10T10:50:03Z | 2020-11-10T10:50:03Z | NONE | null | null | {
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} | Hi
I want to use your library for large-scale training, I am not sure if this is implemented as iterative datasets or not?
could you provide me with example how I can use datasets as iterative datasets?
thanks | {
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"found a solution here https://discuss.pytorch.org/t/train-simultaneously-on-two-datasets/649/35, closed for now, thanks "
] | 2020-11-08T16:19:30Z | 2020-11-08T19:38:48Z | 2020-11-08T19:38:48Z | NONE | null | null | {
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I have multiple iterative datasets from your library with different size and I want to join them in a way that each datasets is sampled equally, so smaller datasets more, larger one less, could you tell me how to implement this in pytorch? thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/813/comments | https://api.github.com/repos/huggingface/datasets/issues/813/events | https://github.com/huggingface/datasets/issues/813 | 738,489,852 | MDU6SXNzdWU3Mzg0ODk4NTI= | 813 | How to implement DistributedSampler with datasets | {
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"Hi Apparently I need to shard the data and give one host a chunk, could you provide me please with examples on how to do it? I want to use it jointly with finetune_trainer.py in huggingface repo seq2seq examples. thanks. ",
"Hey @rabeehkarimimahabadi I'm actually looking for the same feature. Did you manage to g... | 2020-11-08T15:27:11Z | 2022-10-05T12:54:23Z | 2022-10-05T12:54:23Z | NONE | null | null | {
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} | Hi,
I am using your datasets to define my dataloaders, and I am training finetune_trainer.py in huggingface repo on them.
I need a distributedSampler to be able to train the models on TPUs being able to distribute the load across the TPU cores. Could you tell me how I can implement the distribued sampler when using d... | {
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https://api.github.com/repos/huggingface/datasets/issues/812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/812/comments | https://api.github.com/repos/huggingface/datasets/issues/812/events | https://github.com/huggingface/datasets/issues/812 | 738,340,217 | MDU6SXNzdWU3MzgzNDAyMTc= | 812 | Too much logging | {
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"Hi ! Thanks for reporting :) \r\nI agree these one should be hidden when the logging level is warning, we'll fix that",
"+1, the amount of logging is excessive.\r\n\r\nMost of it indeed comes from `filelock.py`, though there are occasionally messages from other sources too. Below is an example (all of these mess... | 2020-11-07T23:56:30Z | 2021-01-26T14:31:34Z | 2020-11-16T17:06:42Z | NONE | null | null | {
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from datasets.utils import logging as datasets_logging
datasets_logging.set_verbosity_warning()
but I'm still getting these logs:
[2020-11-07 15:45:41,908][filelock][INFO] - Lock 139958278886176 acquired on /home/username/.cache/huggingface/datasets/cfe20ffaa80ef1... | {
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https://api.github.com/repos/huggingface/datasets/issues/811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/811/comments | https://api.github.com/repos/huggingface/datasets/issues/811/events | https://github.com/huggingface/datasets/issues/811 | 738,280,132 | MDU6SXNzdWU3MzgyODAxMzI= | 811 | nlp viewer error | {
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"and also for 'blog_authorship_corpus'\r\nhttps://huggingface.co/nlp/viewer/?dataset=blog_authorship_corpus\r\n\r\n",
"Is this the problem of my local computer or ??",
"Related to:\r\n- #673"
] | 2020-11-07T17:08:58Z | 2022-02-15T10:51:44Z | 2022-02-14T15:24:20Z | NONE | null | null | {
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when I select amazon_us_reviews in nlp viewer, it shows error.
https://huggingface.co/nlp/viewer/?dataset=amazon_us_reviews
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https://api.github.com/repos/huggingface/datasets/issues/809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/809/comments | https://api.github.com/repos/huggingface/datasets/issues/809/events | https://github.com/huggingface/datasets/issues/809 | 737,832,701 | MDU6SXNzdWU3Mzc4MzI3MDE= | 809 | Add Google Taskmaster dataset | {
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"Hey @yjernite. Was going to start working on this but found taskmaster 1,2 & 3 in the datasets library already so think this can be closed now?",
"You are absolutely right :) \r\n\r\nClosed by https://github.com/huggingface/datasets/pull/1193 https://github.com/huggingface/datasets/pull/1197 https://github.com/h... | 2020-11-06T15:10:41Z | 2021-04-20T13:09:26Z | 2021-04-20T13:09:26Z | MEMBER | null | null | {
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} | ## Adding a Dataset
- **Name:** Taskmaster
- **Description:** A large dataset of task-oriented dialogue with annotated goals (55K dialogues covering entertainment and travel reservations)
- **Paper:** https://arxiv.org/abs/1909.05358
- **Data:** https://github.com/google-research-datasets/Taskmaster
- **Motivation... | {
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https://api.github.com/repos/huggingface/datasets/issues/807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/807/comments | https://api.github.com/repos/huggingface/datasets/issues/807/events | https://github.com/huggingface/datasets/issues/807 | 737,509,954 | MDU6SXNzdWU3Mzc1MDk5NTQ= | 807 | load_dataset for LOCAL CSV files report CONNECTION ERROR | {
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"Hi !\r\nThe url works on my side.\r\n\r\nIs the url working in your navigator ?\r\nAre you connected to internet ? Does your network block access to `raw.githubusercontent.com` ?",
"> Hi !\r\n> The url works on my side.\r\n> \r\n> Is the url working in your navigator ?\r\n> Are you connected to internet ? Does y... | 2020-11-06T06:33:04Z | 2021-01-11T01:30:27Z | 2020-11-14T05:30:34Z | NONE | null | null | {
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} | ## load_dataset for LOCAL CSV files report CONNECTION ERROR
- **Description:**
A local demo csv file:
```
import pandas as pd
import numpy as np
from datasets import load_dataset
import torch
import transformers
df = pd.DataFrame(np.arange(1200).reshape(300,4))
df.to_csv('test.csv', header=False, index=Fal... | {
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https://api.github.com/repos/huggingface/datasets/issues/806 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/806/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/806/comments | https://api.github.com/repos/huggingface/datasets/issues/806/events | https://github.com/huggingface/datasets/issues/806 | 737,215,430 | MDU6SXNzdWU3MzcyMTU0MzA= | 806 | Quail dataset urls are out of date | {
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"Hi ! Thanks for reporting.\r\nWe should fix the urls and use quail 1.3.\r\nIf you want to contribute feel free to fix the urls and open a PR :) ",
"Done! PR [https://github.com/huggingface/datasets/pull/820](https://github.com/huggingface/datasets/pull/820)\r\n\r\nUpdated links and also regenerated the metadata ... | 2020-11-05T19:40:19Z | 2020-11-10T14:02:51Z | 2020-11-10T14:02:51Z | CONTRIBUTOR | null | null | {
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} | <h3>Code</h3>
```
from datasets import load_dataset
quail = load_dataset('quail')
```
<h3>Error</h3>
```
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/text-machine-lab/quail/master/quail_v1.2/xml/ordered/quail_1.2_train.xml
```
As per [quail v1.3 commit](https://github.co... | {
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https://api.github.com/repos/huggingface/datasets/issues/805 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/805/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/805/comments | https://api.github.com/repos/huggingface/datasets/issues/805/events | https://github.com/huggingface/datasets/issues/805 | 737,019,360 | MDU6SXNzdWU3MzcwMTkzNjA= | 805 | On loading a metric from datasets, I get the following error | {
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"Hi ! We support only pyarrow > 0.17.1 so that we have access to the `PyExtensionType` object.\r\nCould you update pyarrow and try again ?\r\n```\r\npip install --upgrade pyarrow\r\n```"
] | 2020-11-05T15:14:38Z | 2022-02-14T15:32:59Z | 2022-02-14T15:32:59Z | NONE | null | null | {
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} | `from datasets import load_metric`
`metric = load_metric('bleurt')`
Traceback:
210 class _ArrayXDExtensionType(pa.PyExtensionType):
211
212 ndims: int = None
AttributeError: module 'pyarrow' has no attribute 'PyExtensionType'
Any help will be appreciated. Thank you. | {
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https://api.github.com/repos/huggingface/datasets/issues/804 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/804/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/804/comments | https://api.github.com/repos/huggingface/datasets/issues/804/events | https://github.com/huggingface/datasets/issues/804 | 736,858,507 | MDU6SXNzdWU3MzY4NTg1MDc= | 804 | Empty output/answer in TriviaQA test set (both in 'kilt_tasks' and 'trivia_qa') | {
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"cc @yjernite is this expected ?",
"Yes: TriviaQA has a private test set for the leaderboard [here](https://competitions.codalab.org/competitions/17208)\r\n\r\nFor the KILT training and validation portions, you need to link the examples from the TriviaQA dataset as detailed here:\r\nhttps://github.com/huggingface... | 2020-11-05T11:38:01Z | 2020-11-09T14:14:59Z | 2020-11-09T14:14:58Z | CONTRIBUTOR | null | null | {
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} | # The issue
It's all in the title, it appears to be fine on the train and validation sets.
Is there some kind of mapping to do like for the questions (see https://github.com/huggingface/datasets/blob/master/datasets/kilt_tasks/README.md) ?
# How to reproduce
```py
from datasets import load_dataset
kilt_tas... | {
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https://api.github.com/repos/huggingface/datasets/issues/801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/801/comments | https://api.github.com/repos/huggingface/datasets/issues/801/events | https://github.com/huggingface/datasets/issues/801 | 735,790,876 | MDU6SXNzdWU3MzU3OTA4NzY= | 801 | How to join two datasets? | {
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"Hi this is also my question. thanks ",
"Hi ! Currently the only way to add new fields to a dataset is by using `.map` and picking items from the other dataset\r\n",
"Closing this one. Feel free to re-open if you have other questions about this issue.\r\n\r\nAlso linking another discussion about joining dataset... | 2020-11-04T03:53:11Z | 2020-12-23T14:02:58Z | 2020-12-23T14:02:58Z | NONE | null | null | {
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} | Hi,
I'm wondering if it's possible to join two (preprocessed) datasets with the same number of rows but different labels?
I'm currently trying to create paired sentences for BERT from `wikipedia/'20200501.en`, and I couldn't figure out a way to create a paired sentence using `.map()` where the second sentence is... | {
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https://api.github.com/repos/huggingface/datasets/issues/798 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/798/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/798/comments | https://api.github.com/repos/huggingface/datasets/issues/798/events | https://github.com/huggingface/datasets/issues/798 | 735,518,805 | MDU6SXNzdWU3MzU1MTg4MDU= | 798 | Cannot load TREC dataset: ConnectionError | {
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"Hi ! Indeed there's an issue with those links.\r\nWe should probably use the target urls of the redirections instead",
"Hi, the same issue here, could you tell me how to download it through datasets? thanks ",
"Same issue. ",
"Actually it's already fixed on the master branch since #740 \r\nI'll do the 1.1.3 ... | 2020-11-03T17:45:22Z | 2022-02-14T15:34:22Z | 2022-02-14T15:34:22Z | NONE | null | null | {
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} | ## Problem
I cannot load "trec" dataset, it results with ConnectionError as shown below. I've tried on both Google Colab and locally.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label')` returns <Response [302]>.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label', allow_redirects=True... | {
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"Indeed. Pinging @stefan-it here if he want to give an expert opinion :)",
"Related is https://github.com/huggingface/datasets/pull/636",
"Should definitely be a ClassLabel 👍 ",
"Already done."
] | 2020-11-03T15:33:30Z | 2022-02-14T15:41:54Z | 2022-02-14T15:41:53Z | CONTRIBUTOR | null | null | {
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} | Not sure if this is an issue we want to fix or not, putting it here so it's not forgotten. Right now, in token classification datasets, the labels for NER, POS and the likes are typed as `Sequence` of `strings`, which is wrong in my opinion. These should be `Sequence` of `ClassLabel` or some types that gives easy acces... | {
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https://api.github.com/repos/huggingface/datasets/issues/795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/795/comments | https://api.github.com/repos/huggingface/datasets/issues/795/events | https://github.com/huggingface/datasets/issues/795 | 735,198,265 | MDU6SXNzdWU3MzUxOTgyNjU= | 795 | Descriptions of raw and processed versions of wikitext are inverted | {
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"Yes indeed ! Thanks for reporting",
"Fixed by:\r\n- #3241"
] | 2020-11-03T10:24:51Z | 2022-02-14T15:46:21Z | 2022-02-14T15:46:21Z | NONE | null | null | {
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} | Nothing of importance, but it looks like the descriptions of wikitext-n-v1 and wikitext-n-raw-v1 are inverted for both n=2 and n=103. I just verified by loading them and the `<unk>` tokens are present in the non-raw versions, which confirms that it's a mere inversion of the descriptions and not of the datasets themselv... | {
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"Hi ! Thanks for reporting that's a bug on master indeed.\r\nWe'll fix that soon"
] | 2020-11-03T09:27:34Z | 2020-11-19T17:35:38Z | 2020-11-19T17:35:38Z | NONE | null | null | {
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Currently I am trying to load csv file with customized read_options. And the latest master seems broken if we pass the ReadOptions object.
Here is a code snippet
```python
from datasets import load_dataset
from pyarrow.csv import ReadOptions
load_dataset("csv", data_files=["out.csv"], read_options=ReadOpt... | {
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https://api.github.com/repos/huggingface/datasets/issues/792 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/792/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/792/comments | https://api.github.com/repos/huggingface/datasets/issues/792/events | https://github.com/huggingface/datasets/issues/792 | 734,693,652 | MDU6SXNzdWU3MzQ2OTM2NTI= | 792 | KILT dataset: empty string in triviaqa input field | {
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"Just found out about https://github.com/huggingface/datasets/blob/master/datasets/kilt_tasks/README.md\r\n(Not very clear in https://huggingface.co/datasets/kilt_tasks links to http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md which is dead, closing the issue though :))"
] | 2020-11-02T17:33:54Z | 2020-11-05T10:34:59Z | 2020-11-05T10:34:59Z | CONTRIBUTOR | null | null | {
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} | # What happened
Both train and test splits of the triviaqa dataset (part of the KILT benchmark) seem to have empty string in their input field (unlike the natural questions dataset, part of the same benchmark)
# Versions
KILT version is `1.0.0`
`datasets` version is `1.1.2`
[more here](https://gist.github.com/Pa... | {
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https://api.github.com/repos/huggingface/datasets/issues/790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/790/comments | https://api.github.com/repos/huggingface/datasets/issues/790/events | https://github.com/huggingface/datasets/issues/790 | 734,470,197 | MDU6SXNzdWU3MzQ0NzAxOTc= | 790 | Error running pip install -e ".[dev]" on MacOS 10.13.6: faiss/python does not exist | {
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"I saw that `faiss-cpu` 1.6.4.post2 was released recently to fix the installation on macos. It should work now",
"Closing this one.\r\nFeel free to re-open if you still have issues"
] | 2020-11-02T12:36:35Z | 2020-11-10T14:05:02Z | 2020-11-10T14:05:02Z | NONE | null | null | {
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} | I was following along with https://huggingface.co/docs/datasets/share_dataset.html#adding-tests-and-metadata-to-the-dataset when I ran into this error.
```sh
git clone https://github.com/huggingface/datasets
cd datasets
virtualenv venv -p python3 --system-site-packages
source venv/bin/activate
pip install -e ".... | {
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https://api.github.com/repos/huggingface/datasets/issues/788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/788/comments | https://api.github.com/repos/huggingface/datasets/issues/788/events | https://github.com/huggingface/datasets/issues/788 | 734,136,124 | MDU6SXNzdWU3MzQxMzYxMjQ= | 788 | failed to reuse cache | {
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} | I packed the `load_dataset ` in a function of class, and cached data in a directory. But when I import the class and use the function, the data still have to be downloaded again. The information (Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.28 GiB, post-processed: Unknown si... | {
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https://api.github.com/repos/huggingface/datasets/issues/786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/786/comments | https://api.github.com/repos/huggingface/datasets/issues/786/events | https://github.com/huggingface/datasets/issues/786 | 733,761,717 | MDU6SXNzdWU3MzM3NjE3MTc= | 786 | feat(dataset): multiprocessing _generate_examples | {
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"I agree that would be cool :)\r\nRight now the only distributed dataset builder is based on Apache Beam so you can use distributed processing frameworks like Dataflow, Spark, Flink etc. to build your dataset but it's not really well suited for single-worker parallel processing afaik",
"`_generate_examples` can n... | 2020-10-31T16:52:16Z | 2023-01-16T10:59:13Z | 2023-01-16T10:59:13Z | CONTRIBUTOR | null | null | {
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} | forking this out of #741, this issue is only regarding multiprocessing
I'd love if there was a dataset configuration parameter `workers`, where when it is `1` it behaves as it does right now, and when its `>1` maybe `_generate_examples` can also get the `pool` and return an iterable using the pool.
In my use case... | {
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https://api.github.com/repos/huggingface/datasets/issues/784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/784/comments | https://api.github.com/repos/huggingface/datasets/issues/784/events | https://github.com/huggingface/datasets/issues/784 | 733,700,463 | MDU6SXNzdWU3MzM3MDA0NjM= | 784 | Issue with downloading Wikipedia data for low resource language | {
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"Hello, maybe you could ty to use another date for the wikipedia dump (see the available [dates](https://dumps.wikimedia.org/jvwiki) here for `jv`) ?",
"@lhoestq\r\n\r\nI've tried `load_dataset('wikipedia', '20200501.zh', beam_runner='DirectRunner')` and got the same `FileNotFoundError` as @SamuelCahyawijaya.\r\n... | 2020-10-31T11:40:00Z | 2022-02-09T17:50:16Z | 2020-11-25T15:42:13Z | NONE | null | null | {
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} | Hi, I tried to download Sundanese and Javanese wikipedia data with the following snippet
```
jv_wiki = datasets.load_dataset('wikipedia', '20200501.jv', beam_runner='DirectRunner')
su_wiki = datasets.load_dataset('wikipedia', '20200501.su', beam_runner='DirectRunner')
```
And I get the following error for these tw... | {
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https://api.github.com/repos/huggingface/datasets/issues/778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/778/comments | https://api.github.com/repos/huggingface/datasets/issues/778/events | https://github.com/huggingface/datasets/issues/778 | 732,449,652 | MDU6SXNzdWU3MzI0NDk2NTI= | 778 | Unexpected behavior when loading cached csv file? | {
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"Hi ! Thanks for reporting.\r\nThe same issue was reported in #730 (but with the encodings instead of the delimiter). It was fixed by #770 .\r\nThe fix will be available in the next release :)",
"Thanks for the prompt reply and terribly sorry for the spam! \r\nLooking forward to the new release! "
] | 2020-10-29T16:06:10Z | 2020-10-29T21:21:27Z | 2020-10-29T21:21:27Z | CONTRIBUTOR | null | null | {
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} | I read a csv file from disk and forgot so specify the right delimiter. When i read the csv file again specifying the right delimiter it had no effect since it was using the cached dataset. I am not sure if this is unwanted behavior since i can always specify `download_mode="force_redownload"`. But i think it would be n... | {
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"cc @aconneau ;) ",
"These dataset files are no longer available. https://data.statmt.org/cc-100/ files provided in this link are no longer available. Can anybody fix that issue?\r\n@abhishekkrthakur @yjernite ",
"Hi ! Can you open an issue to report this problem ? This will help keep track of the fix :)",
"... | 2020-10-28T18:20:41Z | 2022-01-26T13:22:54Z | 2020-12-14T10:20:07Z | MEMBER | null | null | {
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} | ## Adding a Dataset
- **Name:** CC-100: Monolingual Datasets from Web Crawl Data
- **Description:** https://twitter.com/alex_conneau/status/1321507120848625665
- **Paper:** https://arxiv.org/abs/1911.02116
- **Data:** http://data.statmt.org/cc-100/
- **Motivation:** A large scale multi-lingual language modeling da... | {
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"Yes it allows to monitor the speed of each process. Currently each process takes care of one shard of the dataset.\r\n\r\nAt one point we can consider using streaming batches to a pool of processes instead of sharding the dataset in `num_proc` parts. At that point it will be easy to use only one progress bar",
"... | 2020-10-28T14:13:27Z | 2023-02-13T20:16:39Z | 2023-02-13T20:16:39Z | CONTRIBUTOR | null | null | {
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"`download_mode=datasets.GenerateMode.FORCE_REDOWNLOAD` should work.\r\nThis makes me think we we should rename this to DownloadMode.FORCE_REDOWNLOAD. Currently that's confusing",
"Can we just use `features=...` in `load_dataset` for this @lhoestq?",
"Indeed you should use `features` in this case. \r\n```python... | 2020-10-28T09:16:19Z | 2022-02-22T12:22:52Z | 2022-02-22T12:22:52Z | NONE | null | null | {
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} | Hi, I am a beginner to datasets and I try to use datasets to load my csv file.
my csv file looks like this
```
text,label
"Effective but too-tepid biopic",3
"If you sometimes like to go to the movies to have fun , Wasabi is a good place to start .",4
"Emerges as something rare , an issue movie that 's so hones... | {
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https://api.github.com/repos/huggingface/datasets/issues/766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/766/comments | https://api.github.com/repos/huggingface/datasets/issues/766/events | https://github.com/huggingface/datasets/issues/766 | 730,669,596 | MDU6SXNzdWU3MzA2Njk1OTY= | 766 | [GEM] add DART data-to-text generation dataset | {
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"Is this a duplicate of #924 ?",
"Yup, closing! Haven't been keeping track of the solved issues during the sprint."
] | 2020-10-27T17:34:04Z | 2020-12-03T13:37:18Z | 2020-12-03T13:37:18Z | MEMBER | null | null | {
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} | ## Adding a Dataset
- **Name:** DART
- **Description:** DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
- **P... | {
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https://api.github.com/repos/huggingface/datasets/issues/765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/765/comments | https://api.github.com/repos/huggingface/datasets/issues/765/events | https://github.com/huggingface/datasets/issues/765 | 730,668,332 | MDU6SXNzdWU3MzA2NjgzMzI= | 765 | [GEM] Add DART data-to-text generation dataset | {
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} | ## Adding a Dataset
- **Name:** DART
- **Description:** DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
- **P... | {
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https://api.github.com/repos/huggingface/datasets/issues/762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/762/comments | https://api.github.com/repos/huggingface/datasets/issues/762/events | https://github.com/huggingface/datasets/issues/762 | 730,586,972 | MDU6SXNzdWU3MzA1ODY5NzI= | 762 | [GEM] Add Czech Restaurant data-to-text generation dataset | {
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} | - Paper: https://www.aclweb.org/anthology/W19-8670.pdf
- Data: https://github.com/UFAL-DSG/cs_restaurant_dataset
- The dataset will likely be part of the GEM benchmark | {
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https://api.github.com/repos/huggingface/datasets/issues/761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/761/comments | https://api.github.com/repos/huggingface/datasets/issues/761/events | https://github.com/huggingface/datasets/issues/761 | 729,898,867 | MDU6SXNzdWU3Mjk4OTg4Njc= | 761 | Downloaded datasets are not usable offline | {
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"Yes currently you need an internet connection because the lib tries to check for the etag of the dataset script online to see if you don't have it locally already.\r\n\r\nIf we add a way to store the etag/hash locally after the first download, it would allow users to first download the dataset with an internet con... | 2020-10-26T20:54:46Z | 2022-02-15T10:32:28Z | 2022-02-15T10:32:28Z | CONTRIBUTOR | null | null | {
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} | I've been trying to use the IMDB dataset offline, but after downloading it and turning off the internet it still raises an error from the ```requests``` library trying to reach for the online dataset.
Is this the intended behavior ?
(Sorry, I wrote the the first version of this issue while still on nlp 0.3.0). | {
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} | The current version of the [HANS dataset](https://github.com/huggingface/datasets/blob/master/datasets/hans/hans.py) is missing the additional information provided for each example, including the sentence parses, heuristic and subcase. | {
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https://api.github.com/repos/huggingface/datasets/issues/759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/759/comments | https://api.github.com/repos/huggingface/datasets/issues/759/events | https://github.com/huggingface/datasets/issues/759 | 729,046,916 | MDU6SXNzdWU3MjkwNDY5MTY= | 759 | (Load dataset failure) ConnectionError: Couldn’t reach https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/cnn_dailymail/cnn_dailymail.py | {
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"Are you running the script on a machine with an internet connection ?",
"Yes , I can browse the url through Google Chrome.",
"Does this HEAD request return 200 on your machine ?\r\n```python\r\nimport requests ... | 2020-10-25T15:34:57Z | 2023-09-13T23:56:51Z | 2021-08-04T18:10:09Z | NONE | null | null | {
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} | Hey, I want to load the cnn-dailymail dataset for fine-tune.
I write the code like this
from datasets import load_dataset
test_dataset = load_dataset(“cnn_dailymail”, “3.0.0”, split=“train”)
And I got the following errors.
Traceback (most recent call last):
File “test.py”, line 7, in
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https://api.github.com/repos/huggingface/datasets/issues/758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/758/comments | https://api.github.com/repos/huggingface/datasets/issues/758/events | https://github.com/huggingface/datasets/issues/758 | 728,638,559 | MDU6SXNzdWU3Mjg2Mzg1NTk= | 758 | Process 0 very slow when using num_procs with map to tokenizer | {
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"Hi ! Thanks for reporting.\r\nIs the distribution of text length of your data evenly distributed across your dataset ? I mean, could it be because the examples in the first part of your dataset are slower to process ?\r\nAlso could how many CPUs can you use for multiprocessing ?\r\n```python\r\nimport multiprocess... | 2020-10-24T02:40:20Z | 2020-10-28T03:59:46Z | 2020-10-28T03:59:45Z | NONE | null | null | {
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} | <img width="721" alt="image" src="https://user-images.githubusercontent.com/17930170/97066109-776d0d00-15ed-11eb-8bba-bb4d2e0fcc33.png">
The code I am using is
```
dataset = load_dataset("text", data_files=[file_path], split='train')
dataset = dataset.map(lambda ex: tokenizer(ex["text"], add_speci... | {
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https://api.github.com/repos/huggingface/datasets/issues/757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/757/comments | https://api.github.com/repos/huggingface/datasets/issues/757/events | https://github.com/huggingface/datasets/issues/757 | 728,241,494 | MDU6SXNzdWU3MjgyNDE0OTQ= | 757 | CUDA out of memory | {
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"Could you provide more details ? What's the code you ran ?",
"```python\r\ntokenizer = FunnelTokenizer.from_pretrained('funnel-transformer/small')\r\n\r\ndef tokenize(batch):\r\n return tokenizer(batch['text'], padding='max_length', truncation=True,max_length=512)\r\n\r\ndataset = load_dataset(\"bookcorpus\",... | 2020-10-23T13:57:00Z | 2020-12-23T14:06:29Z | 2020-12-23T14:06:29Z | NONE | null | null | {
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} | In your dataset ,cuda run out of memory as long as the trainer begins:
however, without changing any other element/parameter,just switch dataset to `LineByLineTextDataset`,everything becames OK.
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https://api.github.com/repos/huggingface/datasets/issues/752 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/752/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/752/comments | https://api.github.com/repos/huggingface/datasets/issues/752/events | https://github.com/huggingface/datasets/issues/752 | 726,917,801 | MDU6SXNzdWU3MjY5MTc4MDE= | 752 | Clicking on a metric in the search page points to datasets page giving "Missing dataset" warning | {
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"Thanks for the report, can reproduce. Will fix",
"Fixed now @ogabrielluiz "
] | 2020-10-21T22:56:23Z | 2020-10-22T16:19:42Z | 2020-10-22T16:19:42Z | NONE | null | null | {
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Searching a metric in https://huggingface.co/metrics gives the right results but clicking on a metric (E.g ROUGE) points to https://huggingface.co/datasets/rouge. Clicking on a metric without searching point... | {
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https://api.github.com/repos/huggingface/datasets/issues/751 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/751/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/751/comments | https://api.github.com/repos/huggingface/datasets/issues/751/events | https://github.com/huggingface/datasets/issues/751 | 726,820,191 | MDU6SXNzdWU3MjY4MjAxOTE= | 751 | Error loading ms_marco v2.1 using load_dataset() | {
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"There was a similar issue in #294 \r\nClearing the cache and download again the dataset did the job. Could you try to clear your cache and download the dataset again ?",
"I was able to load the dataset successfully, I'm pretty sure it's just a cache issue that you have.\r\nLet me know if clearing your cache fixe... | 2020-10-21T19:54:43Z | 2020-11-05T01:31:57Z | 2020-11-05T01:31:57Z | NONE | null | null | {
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} | Code:
`dataset = load_dataset('ms_marco', 'v2.1')`
Error:
```
`---------------------------------------------------------------------------
JSONDecodeError Traceback (most recent call last)
<ipython-input-16-34378c057212> in <module>()
9
10 # Downloading and loading a data... | {
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https://api.github.com/repos/huggingface/datasets/issues/750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/750/comments | https://api.github.com/repos/huggingface/datasets/issues/750/events | https://github.com/huggingface/datasets/issues/750 | 726,589,446 | MDU6SXNzdWU3MjY1ODk0NDY= | 750 | load_dataset doesn't include `features` in its hash | {
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} | It looks like the function `load_dataset` does not include what's passed in the `features` argument when creating a hash for a given dataset. As a result, if a user includes new features from an already downloaded dataset, those are ignored.
Example: some models on the hub have a different ordering for the labels t... | {
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https://api.github.com/repos/huggingface/datasets/issues/749 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/749/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/749/comments | https://api.github.com/repos/huggingface/datasets/issues/749/events | https://github.com/huggingface/datasets/issues/749 | 726,366,062 | MDU6SXNzdWU3MjYzNjYwNjI= | 749 | [XGLUE] Adding new dataset | {
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"Amazing! ",
"Small poll @thomwolf @yjernite @lhoestq @JetRunner @qiweizhen .\r\n\r\nAs stated in the XGLUE paper: https://arxiv.org/pdf/2004.01401.pdf , for each of the 11 down-stream tasks training data is only available in English, whereas development and test data is available in multiple different language ... | 2020-10-21T10:51:36Z | 2022-09-30T11:35:30Z | 2021-01-06T10:02:55Z | CONTRIBUTOR | null | null | {
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} | XGLUE is a multilingual GLUE like dataset propesed in this [paper](https://arxiv.org/pdf/2004.01401.pdf).
I'm planning on adding the dataset to the library myself in a couple of weeks.
Also tagging @JetRunner @qiweizhen in case I need some guidance | {
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"Oups wrong click.\r\nThis one is for you @srush"
] | 2020-10-19T19:34:12Z | 2020-10-26T16:36:17Z | 2020-10-26T16:36:17Z | NONE | null | null | {
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https://huggingface.co/nlp/viewer/?dataset=squad_it
Both pages show "OSError: [Errno 28] No space left on device". | {
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https://api.github.com/repos/huggingface/datasets/issues/741 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/741/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/741/comments | https://api.github.com/repos/huggingface/datasets/issues/741/events | https://github.com/huggingface/datasets/issues/741 | 723,924,275 | MDU6SXNzdWU3MjM5MjQyNzU= | 741 | Creating dataset consumes too much memory | {
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"Thanks for reporting.\r\nIn theory since the dataset script is just made to yield examples to write them into an arrow file, it's not supposed to create memory issues.\r\n\r\nCould you please try to run this exact same loop in a separate script to see if it's not an issue with `PIL` ?\r\nYou can just copy paste wh... | 2020-10-18T06:07:06Z | 2022-02-15T17:03:10Z | 2022-02-15T17:03:10Z | CONTRIBUTOR | null | null | {
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} | Moving this issue from https://github.com/huggingface/datasets/pull/722 here, because it seems like a general issue.
Given the following dataset example, where each example saves a sequence of 260x210x3 images (max length 400):
```python
def _generate_examples(self, base_path, split):
""" Yields examp... | {
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https://api.github.com/repos/huggingface/datasets/issues/737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/737/comments | https://api.github.com/repos/huggingface/datasets/issues/737/events | https://github.com/huggingface/datasets/issues/737 | 722,463,923 | MDU6SXNzdWU3MjI0NjM5MjM= | 737 | Trec Dataset Connection Error | {
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"Thanks for reporting.\r\nThat's because the download url has changed. The old url now redirects to the new one but we don't support redirection for downloads.\r\n\r\nI'm opening a PR to update the url"
] | 2020-10-15T15:57:53Z | 2020-10-19T08:54:36Z | 2020-10-19T08:54:36Z | NONE | null | null | {
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} | **Datasets Version:**
1.1.2
**Python Version:**
3.6/3.7
**Code:**
```python
from datasets import load_dataset
load_dataset("trec")
```
**Expected behavior:**
Download Trec dataset and load Dataset object
**Current Behavior:**
Get a connection error saying it couldn't reach http://cogcomp.org/Data/... | {
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https://api.github.com/repos/huggingface/datasets/issues/735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/735/comments | https://api.github.com/repos/huggingface/datasets/issues/735/events | https://github.com/huggingface/datasets/issues/735 | 722,225,270 | MDU6SXNzdWU3MjIyMjUyNzA= | 735 | Throw error when an unexpected key is used in data_files | {
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"Thanks for reporting !\r\nWe'll add support for other keys"
] | 2020-10-15T10:55:27Z | 2020-10-30T13:23:52Z | 2020-10-30T13:23:52Z | CONTRIBUTOR | null | null | {
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} | I have found that only "train", "validation" and "test" are valid keys in the `data_files` argument. When you use any other ones, those attached files are silently ignored - leading to unexpected behaviour for the users.
So the following, unintuitively, returns only one key (namely `train`).
```python
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https://api.github.com/repos/huggingface/datasets/issues/730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/730/comments | https://api.github.com/repos/huggingface/datasets/issues/730/events | https://github.com/huggingface/datasets/issues/730 | 721,073,812 | MDU6SXNzdWU3MjEwNzM4MTI= | 730 | Possible caching bug | {
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"Thanks for reporting. That's a bug indeed.\r\nApparently only the `data_files` parameter is taken into account right now in `DatasetBuilder._create_builder_config` but it should also be the case for `config_kwargs` (or at least the instantiated `builder_config`)",
"Hi, does this bug be fixed? when I load JSON fi... | 2020-10-14T02:02:34Z | 2022-11-22T01:45:54Z | 2020-10-29T09:36:01Z | NONE | null | null | {
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} | The following code with `test1.txt` containing just "🤗🤗🤗":
```
dataset = datasets.load_dataset('text', data_files=['test1.txt'], split="train", encoding="latin_1")
print(dataset[0])
dataset = datasets.load_dataset('text', data_files=['test1.txt'], split="train", encoding="utf-8")
print(dataset[0])
```
produc... | {
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} | When using metrics, if for some reason a user forgets to call `add_batch` to a metric before `compute` (with no arguments), the error message is a bit cryptic and could probably be made clearer.
## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
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## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
def _info(self):
return datasets.MetricInfo(
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https://api.github.com/repos/huggingface/datasets/issues/726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/726/comments | https://api.github.com/repos/huggingface/datasets/issues/726/events | https://github.com/huggingface/datasets/issues/726 | 719,313,754 | MDU6SXNzdWU3MTkzMTM3NTQ= | 726 | "Checksums didn't match for dataset source files" error while loading openwebtext dataset | {
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"Hi try, to provide more information please.\r\n\r\nExample code in a colab to reproduce the error, details on what you are trying to do and what you were expected and details on your environment (OS, PyPi packages version).",
"> Hi try, to provide more information please.\r\n> \r\n> Example code in a colab to re... | 2020-10-12T11:45:10Z | 2022-02-17T17:53:54Z | 2022-02-15T10:38:57Z | NONE | null | null | {
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I have encountered this problem during loading the openwebtext dataset:
```
>>> dataset = load_dataset('openwebtext')
Downloading and preparing dataset openwebtext/plain_text (download: 12.00 GiB, generated: 37.04 GiB, post-processed: Unknown size, total: 49.03 GiB) to /home/admin/.cache/huggingface/datasets/op... | {
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https://api.github.com/repos/huggingface/datasets/issues/724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/724/comments | https://api.github.com/repos/huggingface/datasets/issues/724/events | https://github.com/huggingface/datasets/issues/724 | 718,947,700 | MDU6SXNzdWU3MTg5NDc3MDA= | 724 | need to redirect /nlp to /datasets and remove outdated info | {
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"Should be fixed now: \r\n\r\n\r\n\r\nNot sure I understand what you mean by the second part?\r\n",
"Thank you!\r\n\r\n> Not sure I understand what you mean by the second part?\r\n\r\nCompare the 2:\r\n* htt... | 2020-10-11T23:12:12Z | 2020-10-14T17:00:12Z | 2020-10-14T17:00:12Z | CONTRIBUTOR | null | null | {
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} | It looks like the website still has all the `nlp` data, e.g.: https://huggingface.co/nlp/viewer/?dataset=wikihow&config=all
should probably redirect to: https://huggingface.co/datasets/wikihow
also for some reason the new information is slightly borked. If you look at the old one it was nicely formatted and had t... | {
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https://api.github.com/repos/huggingface/datasets/issues/723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/723/comments | https://api.github.com/repos/huggingface/datasets/issues/723/events | https://github.com/huggingface/datasets/issues/723 | 718,926,723 | MDU6SXNzdWU3MTg5MjY3MjM= | 723 | Adding pseudo-labels to datasets | {
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"Nice ! :)\r\nIt's indeed the first time we have such contributions so we'll have to figure out the appropriate way to integrate them.\r\nCould you add details on what they could be used for ?\r\n",
"They can be used as training data for a smaller model.",
"Sounds just like a regular dataset to me then, no?",
... | 2020-10-11T21:05:45Z | 2021-08-03T05:11:51Z | 2021-08-03T05:11:51Z | CONTRIBUTOR | null | null | {
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} | I recently [uploaded pseudo-labels](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/precomputed_pseudo_labels.md) for CNN/DM, XSUM and WMT16-en-ro to s3, and thom mentioned I should add them to this repo.
Since pseudo-labels are just a large model's generations on an existing dataset, what is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/721/comments | https://api.github.com/repos/huggingface/datasets/issues/721/events | https://github.com/huggingface/datasets/issues/721 | 718,647,147 | MDU6SXNzdWU3MTg2NDcxNDc= | 721 | feat(dl_manager): add support for ftp downloads | {
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"We only support http by default for downloading.\r\nIf you really need to use ftp, then feel free to use a library that allows to download through ftp in your dataset script (I see that you've started working on #722 , that's awesome !). The users will get a message to install the extra library when they load the ... | 2020-10-10T15:50:20Z | 2022-02-15T10:44:44Z | 2022-02-15T10:44:43Z | CONTRIBUTOR | null | null | {
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} | I am working on a new dataset (#302) and encounter a problem downloading it.
```python
# This is the official download link from https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/
_URL = "ftp://wasserstoff.informatik.rwth-aachen.de/pub/rwth-phoenix/2016/phoenix-2014-T.v3.tar.gz"
dl_manager.do... | {
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"Same issue here. I will be digging further, but it looks like the [script](https://github.com/huggingface/datasets/blob/master/datasets/wiki_dpr/wiki_dpr.py#L132) is attempting to open a file that is not downloaded yet. \r\n\r\n```\r\n99dcbca09109e58502e6b9271d4d3f3791b43f61f3161a76b25d2775ab1a4498.lock\r\n```\r\n... | 2020-10-07T14:27:13Z | 2020-12-23T14:04:31Z | 2020-12-23T14:04:31Z | NONE | null | null | {
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} | ## Environment info
transformers version: 3.3.1
Platform: Linux-4.19
Python version: 3.7.7
PyTorch version (GPU?): 1.6.0
Tensorflow version (GPU?): No
Using GPU in script?: Yes
Using distributed or parallel set-up in script?: No
## To reproduce
Steps to reproduce the behaviour... | {
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https://api.github.com/repos/huggingface/datasets/issues/712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/712/comments | https://api.github.com/repos/huggingface/datasets/issues/712/events | https://github.com/huggingface/datasets/issues/712 | 714,242,316 | MDU6SXNzdWU3MTQyNDIzMTY= | 712 | Error in the notebooks/Overview.ipynb notebook | {
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"Do this:\r\n``` python\r\nsquad_dataset = list_datasets(with_details=True)[datasets.index('squad')]\r\npprint(squad_dataset.__dict__) # It's a simple python dataclass\r\n```",
"Thanks! This worked. I have created a PR to fix this in the notebook. "
] | 2020-10-04T05:58:31Z | 2020-10-05T16:25:40Z | 2020-10-05T16:25:40Z | CONTRIBUTOR | null | null | {
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I got the following error in **cell number 3** while exploring the **Overview.ipynb** notebook in google colab. I used the [link ](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) provided in the main README file to open it in colab.
```python
# You can acc... | {
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https://api.github.com/repos/huggingface/datasets/issues/709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/709/comments | https://api.github.com/repos/huggingface/datasets/issues/709/events | https://github.com/huggingface/datasets/issues/709 | 714,067,902 | MDU6SXNzdWU3MTQwNjc5MDI= | 709 | How to use similarity settings other then "BM25" in Elasticsearch index ? | {
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"Datasets does not use elasticsearch API to define custom similarity. If you want to use a custom similarity, the best would be to run a curl request directly to your elasticsearch instance (see sample hereafter, directly from ES documentation), then you should be able to use `my_similarity` in your configuration p... | 2020-10-03T11:18:49Z | 2022-10-04T17:19:37Z | 2022-10-04T17:19:37Z | NONE | null | null | {
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} | **QUESTION : How should we use other similarity algorithms supported by Elasticsearch other than "BM25" ?**
**ES Reference**
https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-similarity.html
**HF doc reference:**
https://huggingface.co/docs/datasets/faiss_and_ea.html
**context :**
=... | {
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"Facing a similar issue here. My model using SQuAD dataset takes about 1h to process with in memory data and more than 2h with datasets directly.",
"And if you use in-memory-data with datasets with `load_dataset(..., keep_in_memory=True)`?",
"Thanks for the tip @thomwolf ! I did not see that flag in the docs. I... | 2020-10-03T06:44:07Z | 2021-02-12T14:13:28Z | 2021-02-12T14:13:28Z | NONE | null | null | {
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Now, this is expected I guess, due to memory mapping data using arrow files, and you don't get anything for free. But I was surprised at how much slower.... | {
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https://api.github.com/repos/huggingface/datasets/issues/707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/707/comments | https://api.github.com/repos/huggingface/datasets/issues/707/events | https://github.com/huggingface/datasets/issues/707 | 713,954,666 | MDU6SXNzdWU3MTM5NTQ2NjY= | 707 | Requirements should specify pyarrow<1 | {
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"Hello @mathcass I would want to work on this issue. May I do the same? ",
"@punitaojha, certainly. Feel free to work on this. Let me know if you need any help or clarity.",
"Hello @mathcass \r\n1. I did fork the repository and clone the same on my local system. \r\n\r\n2. Then learnt about how we can publish o... | 2020-10-02T23:39:39Z | 2020-12-04T08:22:39Z | 2020-10-04T20:50:28Z | NONE | null | null | {
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} | I was looking at the docs on [Perplexity](https://huggingface.co/transformers/perplexity.html) via GPT2. When you load datasets and try to load Wikitext, you get the error,
```
module 'pyarrow' has no attribute 'PyExtensionType'
```
I traced it back to datasets having installed PyArrow 1.0.1 but there's not pinni... | {
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https://api.github.com/repos/huggingface/datasets/issues/705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/705/comments | https://api.github.com/repos/huggingface/datasets/issues/705/events | https://github.com/huggingface/datasets/issues/705 | 713,709,100 | MDU6SXNzdWU3MTM3MDkxMDA= | 705 | TypeError: '<' not supported between instances of 'NamedSplit' and 'NamedSplit' | {
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"Hi !\r\nThanks for reporting :) \r\nIndeed this is an issue on the `datasets` side.\r\nI'm creating a PR",
"Thanks @lhoestq !"
] | 2020-10-02T15:27:55Z | 2020-10-05T08:14:59Z | 2020-10-05T08:14:59Z | NONE | null | null | {
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} | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1 (installed from master)
- `datasets` version: 1.0.2 (installed as a dependency from transformers)
... | {
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https://api.github.com/repos/huggingface/datasets/issues/699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/699/comments | https://api.github.com/repos/huggingface/datasets/issues/699/events | https://github.com/huggingface/datasets/issues/699 | 713,395,642 | MDU6SXNzdWU3MTMzOTU2NDI= | 699 | XNLI dataset is not loading | {
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"also i tried below code to solve checksum error \r\n`datasets-cli test ./datasets/xnli --save_infos --all_configs`\r\n\r\nand it shows \r\n\r\n```\r\n2020-10-02 07:06:16.588760: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\r\nTraceback (most ... | 2020-10-02T06:53:16Z | 2020-10-03T17:45:52Z | 2020-10-03T17:43:37Z | NONE | null | null | {
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} | `dataset = datasets.load_dataset(path='xnli')`
showing below error
```
/opt/conda/lib/python3.7/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
36 if len(bad_urls) > 0:
37 error_msg = "Checksums didn't match" + for_verifi... | {
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https://api.github.com/repos/huggingface/datasets/issues/691 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/691/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/691/comments | https://api.github.com/repos/huggingface/datasets/issues/691/events | https://github.com/huggingface/datasets/issues/691 | 712,389,499 | MDU6SXNzdWU3MTIzODk0OTk= | 691 | Add UI filter to filter datasets based on task | {
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"Already supported."
] | 2020-10-01T00:56:18Z | 2022-02-15T10:46:50Z | 2022-02-15T10:46:50Z | NONE | null | null | {
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} | This is great work, so huge shoutout to contributors and huggingface.
The [/nlp/viewer](https://huggingface.co/nlp/viewer/) is great and the [/datasets](https://huggingface.co/datasets) page is great. I was wondering if in both or either places we can have a filter that selects if a dataset is good for the following... | {
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https://api.github.com/repos/huggingface/datasets/issues/690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/690/comments | https://api.github.com/repos/huggingface/datasets/issues/690/events | https://github.com/huggingface/datasets/issues/690 | 712,150,321 | MDU6SXNzdWU3MTIxNTAzMjE= | 690 | XNLI dataset: NonMatchingChecksumError | {
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"Thanks for reporting.\r\nThe data file must have been updated by the host.\r\nI'll update the checksum with the new one.",
"Well actually it looks like the link isn't working anymore :(",
"The new link is https://cims.nyu.edu/~sbowman/xnli/XNLI-1.0.zip\r\nI'll update the dataset script",
"I'll do a release i... | 2020-09-30T17:50:03Z | 2020-10-01T17:15:08Z | 2020-10-01T14:01:14Z | NONE | null | null | {
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} | Hi,
I tried to download "xnli" dataset in colab using
`xnli = load_dataset(path='xnli')`
but got 'NonMatchingChecksumError' error
`NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-27-a87bedc82eeb> in <module>()
----> 1 xnli = load_dataset(path='xnli')
3 frames
/usr... | {
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https://api.github.com/repos/huggingface/datasets/issues/687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/687/comments | https://api.github.com/repos/huggingface/datasets/issues/687/events | https://github.com/huggingface/datasets/issues/687 | 711,664,810 | MDU6SXNzdWU3MTE2NjQ4MTA= | 687 | `ArrowInvalid` occurs while running `Dataset.map()` function | {
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"Hi !\r\n\r\nThis is because `encode` expects one single text as input (str), or one tokenized text (List[str]).\r\nI believe that you actually wanted to use `encode_batch` which expects a batch of texts.\r\nHowever this method is only available for our \"fast\" tokenizers (ex: BertTokenizerFast).\r\nBertJapanese i... | 2020-09-30T06:16:50Z | 2020-09-30T09:53:03Z | 2020-09-30T09:53:03Z | NONE | null | null | {
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} | It seems to fail to process the final batch. This [colab](https://colab.research.google.com/drive/1_byLZRHwGP13PHMkJWo62Wp50S_Z2HMD?usp=sharing) can reproduce the error.
Code:
```python
# train_ds = Dataset(features: {
# 'title': Value(dtype='string', id=None),
# 'score': Value(dtype='float64', id=Non... | {
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https://api.github.com/repos/huggingface/datasets/issues/686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/686/comments | https://api.github.com/repos/huggingface/datasets/issues/686/events | https://github.com/huggingface/datasets/issues/686 | 711,385,739 | MDU6SXNzdWU3MTEzODU3Mzk= | 686 | Dataset browser url is still https://huggingface.co/nlp/viewer/ | {
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"Yes! might do it with @srush one of these days. Hopefully it won't break too many links (we can always redirect from old url to new)",
"This was fixed but forgot to close the issue. cc @lhoestq @yjernite \r\n\r\nThanks @jarednielsen!"
] | 2020-09-29T19:21:52Z | 2021-01-08T18:29:26Z | 2021-01-08T18:29:26Z | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/678/comments | https://api.github.com/repos/huggingface/datasets/issues/678/events | https://github.com/huggingface/datasets/issues/678 | 710,060,497 | MDU6SXNzdWU3MTAwNjA0OTc= | 678 | The download instructions for c4 datasets are not contained in the error message | {
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"Good catch !\r\nIndeed the `@property` is missing.\r\n\r\nFeel free to open a PR :)",
"Also not that C4 is a dataset that needs an Apache Beam runtime to be generated.\r\nFor example Dataflow, Spark, Flink etc.\r\n\r\nUsually we generate the dataset on our side once and for all, but we haven't done it for C4 yet... | 2020-09-28T08:30:54Z | 2020-09-28T10:26:09Z | 2020-09-28T10:26:09Z | CONTRIBUTOR | null | null | {
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```The dataset c4 with config en requires manual data.
Please follow the manual download instructions: <bound method C4.manual_download_instructions of <datasets_modules.datasets.c4.830b0c218bd41fed439812c8dd19dbd4767d2a3faa385eb695cf8666c982b1b3.c4.C4 object at 0x7ff... | {
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"The problem still exists after removing the cache files.",
"Can you reproduce this example in a Colab so we can investigate? (or give more information on your software/hardware config)",
"Thanks for reporting.\r\nI just found the issue, I'm creating a PR",
"We'll do a release pretty soon to include the fix :... | 2020-09-28T07:19:33Z | 2020-10-07T13:46:33Z | 2020-10-07T13:38:06Z | NONE | null | null | {
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} | I try to split my dataset by `train_test_split`, but after that the item in `train` and `test` `Dataset` is empty.
The codes:
```
yelp_data = datasets.load_from_disk('/home/ssd4/huanglianzhe/test_yelp')
print(yelp_data[0])
yelp_data = yelp_data.train_test_split(test_size=0.1)
print(yelp_data)
pri... | {
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"Yes you can have a look here: https://huggingface.co/docs/datasets/loading_datasets.html#csv-files",
"No activity, closing"
] | 2020-09-27T21:22:50Z | 2020-10-20T09:08:49Z | 2020-10-20T09:08:49Z | CONTRIBUTOR | null | null | {
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Thanks. | {
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"I have the same issue. Tried to download a few of them and not a single one is downloaded successfully.\r\n\r\nThis is the output:\r\n```\r\n>>> dataset = load_dataset('blended_skill_talk', split='train')\r\nUsing custom data configuration default <-- This step never ends\r\n```",
"This was fixed i... | 2020-09-27T03:56:25Z | 2020-10-05T08:28:18Z | 2020-10-05T08:28:18Z | NONE | null | null | {
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} | I don't know if this is just me or Windows. Maybe other Windows users can chime in if they don't have this problem. I've been trying to get some of the tutorials working on Windows, but when I use the load_dataset() function, it just stalls and the script keeps running indefinitely without downloading anything. I've wa... | {
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"Thanks for reporting !\r\nWe'll free some memory"
] | 2020-09-26T20:15:28Z | 2022-02-15T10:47:58Z | 2022-02-15T10:47:58Z | NONE | null | null | {
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} | This is just to report that When I pick blog_authorship_corpus in
https://huggingface.co/nlp/viewer/?dataset=blog_authorship_corpus
I get this:
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https://api.github.com/repos/huggingface/datasets/issues/672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/672/comments | https://api.github.com/repos/huggingface/datasets/issues/672/events | https://github.com/huggingface/datasets/issues/672 | 709,575,527 | MDU6SXNzdWU3MDk1NzU1Mjc= | 672 | Questions about XSUM | {
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"We should try to regenerate the data using the official script.\r\nBut iirc that's what we used in the first place, so not sure why it didn't match in the first place.\r\n\r\nI'll let you know when the dataset is updated",
"Thanks, looking forward to hearing your update on this thread. \r\n\r\nThis is a blocking... | 2020-09-26T17:16:24Z | 2022-10-04T17:30:17Z | 2022-10-04T17:30:17Z | CONTRIBUTOR | null | null | {
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I'm looking into your `xsum` dataset and I have several questions on that.
So here is how I loaded the data:
```
>>> data = datasets.load_dataset('xsum', version='1.0.1')
>>> data['train']
Dataset(features: {'document': Value(dtype='string', id=None), 'summary': Value(dtype='string', id=None)}, nu... | {
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} | This happens when both
1. Huggingface datasets cache dir does not exist
2. Try to load a local dataset script
builder.py throws an error when trying to create a filelock in a directory (cache/datasets) that does not exist
https://github.com/huggingface/datasets/blob/master/src/datasets/builder.py#L177
Tested o... | {
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https://api.github.com/repos/huggingface/datasets/issues/669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/669/comments | https://api.github.com/repos/huggingface/datasets/issues/669/events | https://github.com/huggingface/datasets/issues/669 | 708,857,595 | MDU6SXNzdWU3MDg4NTc1OTU= | 669 | How to skip a example when running dataset.map | {
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"Hi @xixiaoyao,\r\nDepending on what you want to do you can:\r\n- use a first step of `filter` to filter out the invalid examples: https://huggingface.co/docs/datasets/processing.html#filtering-rows-select-and-filter\r\n- or directly detect the invalid examples inside the callable used with `map` and return them un... | 2020-09-25T11:17:53Z | 2022-06-17T21:45:03Z | 2020-10-05T16:28:13Z | NONE | null | null | {
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} | in processing func, I process examples and detect some invalid examples, which I did not want it to be added into train dataset. However I did not find how to skip this recognized invalid example when doing dataset.map. | {
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} | ```python
from datasets import Dataset
d = ds.Dataset.from_dict({"a": range(10)})
print(d[0])
# {'a': 0}
print(d[-1])
# {'a': 9}
print(d[[0, -1]])
# OverflowError
```
results in
```
---------------------------------------------------------------------------
OverflowError ... | {
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"And I tested it on T5ForConditionalGeneration, that works no problem.",
"Hi did you manage to fix your issue ?\r\n\r\nIf so feel free to share your fix and close this thread"
] | 2020-09-24T15:14:43Z | 2021-01-01T20:01:25Z | 2021-01-01T20:01:25Z | NONE | null | null | {
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The following script is used to fine-tune a BertForSequenceClassification model on SST2.
The script is adapted from [this colab](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) that presents an example of fine-tuning BertForQuestionAnswering using squad data... | {
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"No they are other similar copies but they are not provided by the official Bert models authors."
] | 2020-09-23T19:02:25Z | 2020-10-27T15:19:25Z | 2020-10-27T15:19:25Z | NONE | null | null | {
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"Hi !\r\nIt works on my side with both the LongFormerTokenizer and the LongFormerTokenizerFast.\r\n\r\nWhich version of transformers/datasets are you using ?",
"transformers and datasets are both the latest",
"Then I guess you need to give us more informations on your setup (OS, python, GPU, etc) or a Google Co... | 2020-09-23T04:28:14Z | 2020-10-08T09:32:16Z | 2020-10-08T09:32:16Z | NONE | null | null | {
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```
def convert_to_features(example):
# Tokenize contexts and questions (as pairs of inputs)
input_pairs = [example['question'], example['context']]
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https://api.github.com/repos/huggingface/datasets/issues/664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/664/comments | https://api.github.com/repos/huggingface/datasets/issues/664/events | https://github.com/huggingface/datasets/issues/664 | 707,017,791 | MDU6SXNzdWU3MDcwMTc3OTE= | 664 | load_dataset from local squad.py, raise error: TypeError: 'NoneType' object is not callable | {
"avatar_url": "https://avatars.githubusercontent.com/u/24541791?v=4",
"events_url": "https://api.github.com/users/xixiaoyao/events{/privacy}",
"followers_url": "https://api.github.com/users/xixiaoyao/followers",
"following_url": "https://api.github.com/users/xixiaoyao/following{/other_user}",
"gists_url": "... | [] | closed | false | null | [] | null | [
"Hi !\r\nThanks for reporting.\r\nIt looks like no object inherits from `datasets.GeneratorBasedBuilder` (or more generally from `datasets.DatasetBuilder`) in your script.\r\n\r\nCould you check that there exist at least one dataset builder class ?",
"Hi @xixiaoyao did you manage to fix your issue ?",
"No activ... | 2020-09-23T03:53:36Z | 2023-04-17T09:31:20Z | 2020-10-20T09:06:13Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} |
version: 1.0.2
```
train_dataset = datasets.load_dataset('squad')
```
The above code can works. However, when I download the squad.py from your server, and saved as `my_squad.py` to local. I run followings raise errors.
```
train_dataset = datasets.load_dataset('./my_squad.py') ... | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https:... | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/664/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/664/timeline | null | completed | null | null | 653.210278 | 6,875 |
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