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https://api.github.com/repos/huggingface/datasets/issues/2771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2771/comments | https://api.github.com/repos/huggingface/datasets/issues/2771/events | https://github.com/huggingface/datasets/pull/2771 | 963,257,036 | MDExOlB1bGxSZXF1ZXN0NzA1OTExMDMw | 2,771 | [WIP][Common Voice 7] Add common voice 7.0 | [] | closed | false | null | 2 | 2021-08-07T16:01:10Z | 2021-12-06T23:24:02Z | 2021-12-06T23:24:02Z | null | This PR allows to load the new common voice dataset manually as explained when doing:
```python
from datasets import load_dataset
ds = load_dataset("./datasets/datasets/common_voice_7", "ab")
```
=>
```
Please follow the manual download instructions:
You need t... | {
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"Hi ! I think the name `common_voice_7` is fine :)\r\nMoreover if the dataset_infos.json is missing I'm pretty sure you don't need to specify `ignore_verifications=True`",
"Hi, how about to add a new parameter \"version\" in the function load_dataset, something like: \r\n`load_dataset(\"common_voice\", \"lg\", ve... |
https://api.github.com/repos/huggingface/datasets/issues/5603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5603/comments | https://api.github.com/repos/huggingface/datasets/issues/5603/events | https://github.com/huggingface/datasets/pull/5603 | 1,607,143,509 | PR_kwDODunzps5LJZzG | 5,603 | Don't compute checksums if not necessary in `datasets-cli test` | [] | closed | false | null | 3 | 2023-03-02T16:42:39Z | 2023-03-03T15:45:32Z | 2023-03-03T15:38:28Z | null | we only need them if there exists a `dataset_infos.json` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... |
https://api.github.com/repos/huggingface/datasets/issues/5111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5111/comments | https://api.github.com/repos/huggingface/datasets/issues/5111/events | https://github.com/huggingface/datasets/issues/5111 | 1,408,143,170 | I_kwDODunzps5T7o9C | 5,111 | map and filter not working properly in multiprocessing with the new release 2.6.0 | [
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] | closed | false | null | 14 | 2022-10-13T17:00:55Z | 2022-10-17T08:26:59Z | 2022-10-14T14:59:59Z | null | ## Describe the bug
When mapping is used on a dataset with more than one process, there is a weird behavior when trying to use `filter` , it's like only the samples from one worker are retrieved, one needs to specify the same `num_proc` in filter for it to work properly. This doesn't happen with `datasets` version 2.5... | {
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"Same bug exists with `num_proc=1` on colab. `3.7.14 (default, Sep 8 2022, 00:06:44) [GCC 7.5.0]` ",
"Thanks for reporting, @loubnabnl and for the additional information, @PartiallyTyped.\r\n\r\nHowever, I'm not able to reproduce this issue, neither locally nor on Colab:\r\n```\r\nDataset({\r\n features: ['re... |
https://api.github.com/repos/huggingface/datasets/issues/2344 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2344/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2344/comments | https://api.github.com/repos/huggingface/datasets/issues/2344/events | https://github.com/huggingface/datasets/issues/2344 | 885,331,505 | MDU6SXNzdWU4ODUzMzE1MDU= | 2,344 | Is there a way to join multiple datasets in one? | [
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] | open | false | null | 2 | 2021-05-10T23:16:10Z | 2022-10-05T17:27:05Z | null | null | **Is your feature request related to a problem? Please describe.**
I need to join 2 datasets, one that is in the hub and another I've created from my files. Is there an easy way to join these 2?
**Describe the solution you'd like**
Id like to join them with a merge or join method, just like pandas dataframes.
**Add... | {
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"Hi ! We don't have `join`/`merge` on a certain column as in pandas.\r\nMaybe you can just use the [concatenate_datasets](https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=concatenate#datasets.concatenate_datasets) function.\r\n",
"Hi! You can use `datasets_sql` for that now. As o... |
https://api.github.com/repos/huggingface/datasets/issues/3848 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3848/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3848/comments | https://api.github.com/repos/huggingface/datasets/issues/3848/events | https://github.com/huggingface/datasets/issues/3848 | 1,162,076,902 | I_kwDODunzps5FQ-Lm | 3,848 | NonMatchingChecksumError when checksum is None | [
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] | closed | false | null | 7 | 2022-03-08T00:24:12Z | 2022-03-15T14:37:26Z | 2022-03-15T12:28:23Z | null | I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': 'efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c64... | {
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"Hi @jxmorris12, thanks for reporting.\r\n\r\nThe objective of `verify_checksums` is to check that both checksums are equal. Therefore if one is None and the other is non-None, they are not equal, and the function accordingly raises a NonMatchingChecksumError. That behavior is expected.\r\n\r\nThe question is: how ... |
https://api.github.com/repos/huggingface/datasets/issues/3716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3716/comments | https://api.github.com/repos/huggingface/datasets/issues/3716/events | https://github.com/huggingface/datasets/issues/3716 | 1,136,831,092 | I_kwDODunzps5Dwqp0 | 3,716 | `FaissIndex` to support multiple GPU and `custom_index` | [
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] | closed | false | null | 2 | 2022-02-14T06:21:43Z | 2022-03-07T16:28:56Z | 2022-03-07T16:28:56Z | null | **Is your feature request related to a problem? Please describe.**
Currently, because `device` is of the type `int | None`, to leverage `faiss-gpu`'s multi-gpu support, you need to create a `custom_index`. However, if using a `custom_index` created by e.g. `faiss.index_cpu_to_all_gpus`, then `FaissIndex.save` does not ... | {
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"Hi @rentruewang, thansk for reporting and for your PR!!! We should definitely support this. ",
"@albertvillanova Great! :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/5958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5958/comments | https://api.github.com/repos/huggingface/datasets/issues/5958/events | https://github.com/huggingface/datasets/pull/5958 | 1,757,265,971 | PR_kwDODunzps5TA3__ | 5,958 | set dev version | [] | closed | false | null | 3 | 2023-06-14T16:26:34Z | 2023-06-14T16:34:55Z | 2023-06-14T16:26:51Z | null | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5958). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... |
https://api.github.com/repos/huggingface/datasets/issues/4845 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4845/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4845/comments | https://api.github.com/repos/huggingface/datasets/issues/4845/events | https://github.com/huggingface/datasets/pull/4845 | 1,337,928,283 | PR_kwDODunzps49IOjf | 4,845 | Mark CI tests as xfail if Hub HTTP error | [] | closed | false | null | 1 | 2022-08-13T10:45:11Z | 2022-08-23T04:57:12Z | 2022-08-23T04:42:26Z | null | In order to make testing more robust (and avoid merges to master with red tests), we could mark tests as xfailed (instead of failed) when the Hub raises some temporary HTTP errors.
This PR:
- marks tests as xfailed only if the Hub raises a 500 error for:
- test_upstream_hub
- makes pytest report the xfailed/xpa... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/241/comments | https://api.github.com/repos/huggingface/datasets/issues/241/events | https://github.com/huggingface/datasets/pull/241 | 631,703,079 | MDExOlB1bGxSZXF1ZXN0NDI4NTQwMDM0 | 241 | Fix empty cache dir | [] | closed | false | null | 2 | 2020-06-05T15:45:22Z | 2020-06-08T08:35:33Z | 2020-06-08T08:35:31Z | null | If the cache dir of a dataset is empty, the dataset fails to load and throws a FileNotFounfError. We could end up with empty cache dir because there was a line in the code that created the cache dir without using a temp dir. Using a temp dir is useful as it gets renamed to the real cache dir only if the full process is... | {
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"Looks great! Will this change force all cached datasets to be redownloaded? But even if it does, it shoud not be a big problem, I think",
"> Looks great! Will this change force all cached datasets to be redownloaded? But even if it does, it shoud not be a big problem, I think\r\n\r\nNo it shouldn't force to redo... |
https://api.github.com/repos/huggingface/datasets/issues/681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/681/comments | https://api.github.com/repos/huggingface/datasets/issues/681/events | https://github.com/huggingface/datasets/pull/681 | 710,075,721 | MDExOlB1bGxSZXF1ZXN0NDkzOTkwMjEz | 681 | Adding missing @property (+2 small flake8 fixes). | [] | closed | false | null | 0 | 2020-09-28T08:53:53Z | 2020-09-28T10:26:13Z | 2020-09-28T10:26:09Z | null | Fixes #678 | {
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https://api.github.com/repos/huggingface/datasets/issues/412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/412/comments | https://api.github.com/repos/huggingface/datasets/issues/412/events | https://github.com/huggingface/datasets/issues/412 | 660,047,139 | MDU6SXNzdWU2NjAwNDcxMzk= | 412 | Unable to load XTREME dataset from disk | [] | closed | false | null | 3 | 2020-07-18T09:55:00Z | 2020-07-21T08:15:44Z | 2020-07-21T08:15:44Z | null | Hi 🤗 team!
## Description of the problem
Following the [docs](https://huggingface.co/nlp/loading_datasets.html?highlight=xtreme#manually-downloading-files) I'm trying to load the `PAN-X.fr` dataset from the [XTREME](https://github.com/google-research/xtreme) benchmark.
I have manually downloaded the `AmazonPho... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/412/timeline | null | completed | null | null | false | [
"Hi @lewtun, you have to provide the full path to the downloaded file for example `/home/lewtum/..`",
"I was able to repro. Opening a PR to fix that.\r\nThanks for reporting this issue !",
"Thanks for the rapid fix @lhoestq!"
] |
https://api.github.com/repos/huggingface/datasets/issues/4528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4528/comments | https://api.github.com/repos/huggingface/datasets/issues/4528/events | https://github.com/huggingface/datasets/issues/4528 | 1,276,679,155 | I_kwDODunzps5MGJPz | 4,528 | Memory leak when iterating a Dataset | [
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] | closed | false | null | 5 | 2022-06-20T10:03:14Z | 2022-09-12T08:51:39Z | 2022-09-12T08:51:39Z | null | e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import trange
import os, psutil
logging.ba... | {
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"Is someone assigned to this issue?",
"The same issue is being debugged here: https://github.com/huggingface/datasets/issues/4883\r\n",
"Here is a modified repro example that makes it easier to see the leak:\r\n\r\n```\r\n$ cat ds2.py\r\nimport gc, sys\r\nimport time\r\nfrom datasets import load_dataset\r\nimpo... |
https://api.github.com/repos/huggingface/datasets/issues/2442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2442/comments | https://api.github.com/repos/huggingface/datasets/issues/2442/events | https://github.com/huggingface/datasets/pull/2442 | 909,677,029 | MDExOlB1bGxSZXF1ZXN0NjYwMjE1ODY1 | 2,442 | add english language tags for ~100 datasets | [] | closed | false | null | 1 | 2021-06-02T16:24:56Z | 2021-06-04T09:51:40Z | 2021-06-04T09:51:39Z | null | As discussed on Slack, I have manually checked for ~100 datasets that they have at least one subset in English. This information was missing so adding into the READMEs.
Note that I didn't check all the subsets so it's possible that some of the datasets have subsets in other languages than English... | {
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"Fixing the tags of all the datasets is out of scope for this PR so I'm merging even though the CI fails because of the missing tags"
] |
https://api.github.com/repos/huggingface/datasets/issues/2505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2505/comments | https://api.github.com/repos/huggingface/datasets/issues/2505/events | https://github.com/huggingface/datasets/pull/2505 | 921,234,797 | MDExOlB1bGxSZXF1ZXN0NjcwMjY2NjQy | 2,505 | Make numpy arrow extractor faster | [] | closed | false | null | 5 | 2021-06-15T10:11:32Z | 2021-06-28T09:53:39Z | 2021-06-28T09:53:38Z | null | I changed the NumpyArrowExtractor to call directly to_numpy and see if it can lead to speed-ups as discussed in https://github.com/huggingface/datasets/issues/2498
This could make the numpy/torch/tf/jax formatting faster | {
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"Looks like we have a nice speed up in some benchmarks. For example:\r\n- `read_formatted numpy 5000`: 4.584777 sec -> 0.487113 sec\r\n- `read_formatted torch 5000`: 4.565676 sec -> 1.289514 sec",
"Can we convert this draft to PR @lhoestq ?",
"Ready for review ! cc @vblagoje",
"@lhoestq I tried the branch a... |
https://api.github.com/repos/huggingface/datasets/issues/4374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4374/comments | https://api.github.com/repos/huggingface/datasets/issues/4374/events | https://github.com/huggingface/datasets/issues/4374 | 1,241,860,535 | I_kwDODunzps5KBUm3 | 4,374 | extremely slow processing when using a custom dataset | [
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"descript... | closed | false | null | 2 | 2022-05-19T14:18:05Z | 2023-07-25T15:07:17Z | 2023-07-25T15:07:16Z | null | ## processing a custom dataset loaded as .txt file is extremely slow, compared to a dataset of similar volume from the hub
I have a large .txt file of 22 GB which i load into HF dataset
`lang_dataset = datasets.load_dataset("text", data_files="hi.txt")`
further i use a pre-processing function to clean the d... | {
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"Hi !\r\n\r\nMy guess is that some examples in your dataset are bigger than your RAM, and therefore loading them in RAM to pass them to `remove_non_indic_sentences` takes forever because it might use SWAP memory.\r\n\r\nMaybe several examples in your dataset are grouped together, can you check `len(lang_dataset[\"t... |
https://api.github.com/repos/huggingface/datasets/issues/1280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1280/comments | https://api.github.com/repos/huggingface/datasets/issues/1280/events | https://github.com/huggingface/datasets/pull/1280 | 759,151,028 | MDExOlB1bGxSZXF1ZXN0NTM0MTk2MDc0 | 1,280 | disaster response messages dataset | [] | closed | false | null | 2 | 2020-12-08T07:27:16Z | 2020-12-09T16:21:57Z | 2020-12-09T16:21:57Z | null | {
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"I have added the Readme.md as well, the PR is ready for review. \r\n\r\nThank you ",
"Hi @lhoestq I have updated the code and files. Please if you could check once.\r\n\r\nThank you"
] | |
https://api.github.com/repos/huggingface/datasets/issues/1758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1758/comments | https://api.github.com/repos/huggingface/datasets/issues/1758/events | https://github.com/huggingface/datasets/issues/1758 | 790,626,116 | MDU6SXNzdWU3OTA2MjYxMTY= | 1,758 | dataset.search() (elastic) cannot reliably retrieve search results | [] | closed | false | null | 2 | 2021-01-21T02:26:37Z | 2021-01-22T00:25:50Z | 2021-01-22T00:25:50Z | null | I am trying to use elastic search to retrieve the indices of items in the dataset in their precise order, given shuffled training indices.
The problem I have is that I cannot retrieve reliable results with my data on my first search. I have to run the search **twice** to get the right answer.
I am indexing data t... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1758/timeline | null | completed | null | null | false | [
"Hi !\r\nI tried your code on my side and I was able to workaround this issue by waiting a few seconds before querying the index.\r\nMaybe this is because the index is not updated yet on the ElasticSearch side ?",
"Thanks for the feedback! I added a 30 second \"sleep\" and that seemed to work well!"
] |
https://api.github.com/repos/huggingface/datasets/issues/922 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/922/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/922/comments | https://api.github.com/repos/huggingface/datasets/issues/922/events | https://github.com/huggingface/datasets/pull/922 | 753,559,130 | MDExOlB1bGxSZXF1ZXN0NTI5NjEzOTA4 | 922 | Add XOR QA Dataset | [] | closed | false | null | 4 | 2020-11-30T15:10:54Z | 2020-12-02T03:12:21Z | 2020-12-02T03:12:21Z | null | Added XOR Question Answering Dataset. The link to the dataset can be found [here](https://nlp.cs.washington.edu/xorqa/)
- [x] Followed the instructions in CONTRIBUTING.md
- [x] Ran the tests successfully
- [x] Created the dummy data | {
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"Hi @sumanthd17 \r\n\r\nLooks like a good start! You will also need to add a Dataset card, following the instructions given [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#manually-tag-the-dataset-and-write-the-dataset-card)",
"I followed the instructions mentioned there but my datas... |
https://api.github.com/repos/huggingface/datasets/issues/1252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1252/comments | https://api.github.com/repos/huggingface/datasets/issues/1252/events | https://github.com/huggingface/datasets/pull/1252 | 758,511,388 | MDExOlB1bGxSZXF1ZXN0NTMzNjczMDcx | 1,252 | Add Naver sentiment movie corpus | [] | closed | false | null | 0 | 2020-12-07T13:33:45Z | 2020-12-08T14:32:33Z | 2020-12-08T14:21:37Z | null | Supersedes #1168
> This PR adds the [Naver sentiment movie corpus](https://github.com/e9t/nsmc), a dataset containing Korean movie reviews from Naver, the most commonly used search engine in Korea. This dataset is often used to benchmark models on Korean NLP tasks, as seen in [this paper](https://www.aclweb.org/ant... | {
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https://api.github.com/repos/huggingface/datasets/issues/2560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2560/comments | https://api.github.com/repos/huggingface/datasets/issues/2560/events | https://github.com/huggingface/datasets/pull/2560 | 932,143,634 | MDExOlB1bGxSZXF1ZXN0Njc5NTMyODk4 | 2,560 | fix Dataset.map when num_procs > num rows | [] | closed | false | null | 3 | 2021-06-29T02:24:11Z | 2021-06-29T15:00:18Z | 2021-06-29T14:53:31Z | null | closes #2470
## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | {
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"Hi ! Thanks for fixing this :)\r\n\r\nLooks like you have tons of changes due to code formatting.\r\nWe're using `black` for this, with a custom line length. To run our code formatting, you just need to run\r\n```\r\nmake style\r\n```\r\n\r\nThen for the windows error in the CI, I'm looking into it. It's probably ... |
https://api.github.com/repos/huggingface/datasets/issues/622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/622/comments | https://api.github.com/repos/huggingface/datasets/issues/622/events | https://github.com/huggingface/datasets/issues/622 | 700,225,826 | MDU6SXNzdWU3MDAyMjU4MjY= | 622 | load_dataset for text files not working | [
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] | closed | false | null | 41 | 2020-09-12T12:49:28Z | 2020-10-28T11:07:31Z | 2020-10-28T11:07:30Z | null | Trying the following snippet, I get different problems on Linux and Windows.
```python
dataset = load_dataset("text", data_files="data.txt")
# or
dataset = load_dataset("text", data_files=["data.txt"])
```
(ps [This example](https://huggingface.co/docs/datasets/loading_datasets.html#json-files) shows that ... | {
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"Can you give us more information on your os and pip environments (pip list)?",
"@thomwolf Sure. I'll try downgrading to 3.7 now even though Arrow say they support >=3.5.\r\n\r\nLinux (Ubuntu 18.04) - Python 3.8\r\n======================\r\nPackage - Version\r\n---------------------\r\ncertifi 2... |
https://api.github.com/repos/huggingface/datasets/issues/4547 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4547/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4547/comments | https://api.github.com/repos/huggingface/datasets/issues/4547/events | https://github.com/huggingface/datasets/pull/4547 | 1,282,160,517 | PR_kwDODunzps46Ot5u | 4,547 | [CI] Fix some warnings | [] | closed | false | null | 4 | 2022-06-23T10:10:49Z | 2022-06-28T14:10:57Z | 2022-06-28T13:59:54Z | null | There are some warnings in the CI that are annoying, I tried to remove most of them | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"There is a CI failure only related to the missing content of the universal_dependencies dataset card, we can ignore this failure in this PR",
"good catch, I thought I resolved them all sorry",
"Alright it should be good now"
] |
https://api.github.com/repos/huggingface/datasets/issues/1282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1282/comments | https://api.github.com/repos/huggingface/datasets/issues/1282/events | https://github.com/huggingface/datasets/pull/1282 | 759,208,335 | MDExOlB1bGxSZXF1ZXN0NTM0MjQ4NzI5 | 1,282 | add thaiqa_squad | [] | closed | false | null | 0 | 2020-12-08T08:14:38Z | 2020-12-08T18:36:18Z | 2020-12-08T18:36:18Z | null | Example format is a little different from SQuAD since `thaiqa` always have one answer per question so I added a check to convert answers to lists if they are not already one to future-proof additional questions that might have multiple answers.
`thaiqa_squad` is an open-domain, extractive question answering dataset ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5365/comments | https://api.github.com/repos/huggingface/datasets/issues/5365/events | https://github.com/huggingface/datasets/pull/5365 | 1,498,422,466 | PR_kwDODunzps5Fi6ZD | 5,365 | fix: image array should support other formats than uint8 | [] | closed | false | null | 4 | 2022-12-15T13:17:50Z | 2023-01-26T18:46:45Z | 2023-01-26T18:39:36Z | null | Currently images that are provided as ndarrays, but not in `uint8` format are going to loose data. Namely, for example in a depth image where the data is in float32 format, the type-casting to uint8 will basically make the whole image blank.
`PIL.Image.fromarray` [does support mode `F`](https://pillow.readthedocs.io/e... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, thanks for working on this! \r\n\r\nI agree that the current type-casting (always cast to `np.uint8` as Tensorflow Datasets does) is a bit too harsh. However, not all dtypes are supported in `Image.fromarray` (e.g. np.int64), so ... |
https://api.github.com/repos/huggingface/datasets/issues/4185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4185/comments | https://api.github.com/repos/huggingface/datasets/issues/4185/events | https://github.com/huggingface/datasets/issues/4185 | 1,209,429,743 | I_kwDODunzps5IFm7v | 4,185 | Librispeech documentation, clarification on format | [] | open | false | null | 8 | 2022-04-20T09:35:55Z | 2022-04-21T11:00:53Z | null | null | https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not converted to a float32 array. To convert, the audi... | {
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"(@patrickvonplaten )",
"Also cc @lhoestq here",
"The documentation in the code is definitely outdated - thanks for letting me know, I'll remove it in https://github.com/huggingface/datasets/pull/4184 .\r\n\r\nYou're exactly right `audio` `array` already decodes the audio file to the correct waveform. This is d... |
https://api.github.com/repos/huggingface/datasets/issues/3754 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3754/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3754/comments | https://api.github.com/repos/huggingface/datasets/issues/3754/events | https://github.com/huggingface/datasets/issues/3754 | 1,142,886,536 | I_kwDODunzps5EHxCI | 3,754 | Overflowing indices in `select` | [
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] | closed | false | null | 2 | 2022-02-18T11:30:52Z | 2022-02-18T11:38:23Z | 2022-02-18T11:38:23Z | null | ## Describe the bug
The `Dataset.select` function seems to accept indices that are larger than the dataset size and seems to effectively use `index %len(ds)`.
## Steps to reproduce the bug
```python
from datasets import Dataset
ds = Dataset.from_dict({"test": [1,2,3]})
ds = ds.select(range(5))
print(ds)
p... | {
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"Fixed on master (see https://github.com/huggingface/datasets/pull/3719).",
"Awesome, I did not find that one! Thanks."
] |
https://api.github.com/repos/huggingface/datasets/issues/4045 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4045/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4045/comments | https://api.github.com/repos/huggingface/datasets/issues/4045/events | https://github.com/huggingface/datasets/pull/4045 | 1,183,661,091 | PR_kwDODunzps41KtfV | 4,045 | Fix CLI dummy data generation | [] | closed | false | null | 1 | 2022-03-28T16:09:15Z | 2022-03-31T15:04:12Z | 2022-03-31T14:59:06Z | null | PR:
- #3868
broke the CLI dummy data generation.
Fix #4044. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/5130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5130/comments | https://api.github.com/repos/huggingface/datasets/issues/5130/events | https://github.com/huggingface/datasets/pull/5130 | 1,413,435,000 | PR_kwDODunzps5BBxXX | 5,130 | Avoid extra cast in `class_encode_column` | [] | closed | false | null | 1 | 2022-10-18T15:31:24Z | 2022-10-19T11:53:02Z | 2022-10-19T11:50:46Z | null | Pass the updated features to `map` to avoid the `cast` in `class_encode_column`. | {
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https://api.github.com/repos/huggingface/datasets/issues/2027 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2027/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2027/comments | https://api.github.com/repos/huggingface/datasets/issues/2027/events | https://github.com/huggingface/datasets/pull/2027 | 828,490,444 | MDExOlB1bGxSZXF1ZXN0NTkwMjkzNDA1 | 2,027 | Update format columns in Dataset.rename_columns | [] | closed | false | null | 0 | 2021-03-10T23:50:59Z | 2021-03-11T14:38:40Z | 2021-03-11T14:38:40Z | null | Fixes #2026 | {
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https://api.github.com/repos/huggingface/datasets/issues/3104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3104/comments | https://api.github.com/repos/huggingface/datasets/issues/3104/events | https://github.com/huggingface/datasets/issues/3104 | 1,029,080,412 | I_kwDODunzps49VoVc | 3,104 | Missing Zenodo 1.13.3 release | [
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] | closed | false | null | 1 | 2021-10-18T12:57:18Z | 2021-10-22T13:22:25Z | 2021-10-22T13:22:24Z | null | After `datasets` 1.13.3 release, this does not appear in Zenodo releases: https://zenodo.org/record/5570305
TODO:
- [x] Contact Zenodo support
- [x] Check it is fixed | {
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"Zenodo has fixed on their side the 1.13.3 release: https://zenodo.org/record/5589150"
] |
https://api.github.com/repos/huggingface/datasets/issues/455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/455/comments | https://api.github.com/repos/huggingface/datasets/issues/455/events | https://github.com/huggingface/datasets/pull/455 | 668,037,965 | MDExOlB1bGxSZXF1ZXN0NDU4NTk4NTUw | 455 | Add bleurt | [] | closed | false | null | 4 | 2020-07-29T18:08:32Z | 2020-07-31T13:56:14Z | 2020-07-31T13:56:14Z | null | This PR adds the BLEURT metric to the library.
The BLEURT `Metric` downloads a TF checkpoint corresponding to its `config_name` at creation (in the `_info` function). Default is set to `bleurt-base-128`.
Note that the default in the original package is `bleurt-tiny-128`, but they throw a warning and recommend usi... | {
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"Sorry one nit: Could we use named arguments for the call to BLEURT?\r\n\r\ni.e. \r\n scores = self.scorer.score(references=references, candidates=predictions)\r\n\r\n(i.e. so it is less bug prone)\r\n",
"Following up on Ankur's comment---we are going to drop support for\npositional (not named) arguments i... |
https://api.github.com/repos/huggingface/datasets/issues/4668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4668/comments | https://api.github.com/repos/huggingface/datasets/issues/4668/events | https://github.com/huggingface/datasets/issues/4668 | 1,299,735,893 | I_kwDODunzps5NeGVV | 4,668 | Dataset Viewer issue for hungnm/multilingual-amazon-review-sentiment-processed | [
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] | closed | false | null | 1 | 2022-07-09T18:04:13Z | 2022-07-11T07:47:47Z | 2022-07-11T07:47:47Z | null | ### Link
https://huggingface.co/hungnm/multilingual-amazon-review-sentiment
### Description
_No response_
### Owner
Yes | {
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"It seems like a private dataset. The viewer is currently not supported on the private datasets."
] |
https://api.github.com/repos/huggingface/datasets/issues/3622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3622/comments | https://api.github.com/repos/huggingface/datasets/issues/3622/events | https://github.com/huggingface/datasets/issues/3622 | 1,112,831,661 | I_kwDODunzps5CVHat | 3,622 | Extend support for streaming datasets that use os.path.relpath | [
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] | closed | false | null | 0 | 2022-01-24T15:58:23Z | 2022-02-04T14:03:54Z | 2022-02-04T14:03:54Z | null | Extend support for streaming datasets that use `os.path.relpath`.
This feature will also be useful to yield the relative path of audio or image files.
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End of preview. Expand in Data Studio
Dataset Card for "github-issues_huggingface-datasets"
Dataset Name: GitHub Issues from Hugging Face Datasets
Description: The "github-issues_huggingface-datasets" dataset is a corpus of GitHub issues extracted from the Hugging Face Datasets repository. It includes valuable information and metadata related to the issues, such as titles, descriptions, labels, states, comments, and whether they are pull requests. The dataset was compiled using the GitHub REST API, which enabled the retrieval of issues and their corresponding comments. Additionally, a new column was added to indicate whether an issue is a pull request.
Dataset Contents: The dataset consists of two splits:
- Train Split: Contains 4,863 records, each with features like URL, repository URL, labels URL, comments URL, HTML URL, ID, node ID, issue number, Title, labels, state, locked status, milestone, comments, creation date, update date, closing date, reactions, timeline URL, and more.
- Test Split: Comprises 1,216 records with the same features as the train split.
Potential Uses: This dataset is valuable for various purposes, such as:
- Semantic search: Analyzing and retrieving issues based on semantic similarity.
- Multilabel classification: Classifying issues into multiple categories based on their labels.
- Exploratory analysis: Gaining insights into the trends and patterns within GitHub issues.
Limitations and Risks: Users of this dataset should be aware of potential limitations, such as data incompleteness, bias in issue labeling, or outdated information. Additionally, data privacy and ethical considerations should be taken into account when using GitHub issues data.
Access: The dataset is openly accessible to anyone interested in using it for research, analysis, or any other suitable applications. The dataset is publicly available for download and usage.
Note: Certain user-specific features, such as "user", "author_association", "assignee" and "assignees" have been excluded from the dataset to protect individual privacy and mitigate the risk of identifying users or contributors.
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