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Datasets:
chichi56
/
ASFT

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The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code:   InfoError
Exception:    ConnectionError
Message:      Couldn't reach 'chichi56/ASFT' on the Hub (ReadTimeout)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1133, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1032, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 974, in dataset_module_factory
                  raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
              ConnectionError: Couldn't reach 'chichi56/ASFT' on the Hub (ReadTimeout)

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ASFT

Dataset Summary

ASFT is a collection of instruction–response pairs in JSONL format, intended for instruction tuning and general text-generation experiments. Each line is a single JSON object with two fields: instruction and response. Some files are derived from MedMCQA and include explanations.

Files

  • magpie10k.jsonl
  • numina_cot_10k.jsonl
  • numina_cot_30k.jsonl
  • numina_cot_100k.jsonl
  • train_medmcqa_alpaca_10k.jsonl
  • train_medmcqa_alpaca_30k.jsonl
  • train_medmcqa_alpaca_100k.jsonl

Data Format

Each line in every file is a JSON object with the following schema:

{
  "instruction": "...",
  "response": "..."
}

Intended Use

  • Instruction tuning / supervised fine-tuning
  • General-purpose text generation benchmarks

Data Provenance

  • train_medmcqa_alpaca_10k.jsonl, train_medmcqa_alpaca_30k.jsonl, and train_medmcqa_alpaca_100k.jsonl are derived from the openlifescienceai/medmcqa training split (examples with non-empty explanations). instruction contains the question with options; response contains the explanation followed by the final answer sentence.
  • The original data sources and collection process for the remaining files are not specified in this repository.

Licensing

License is not specified. Please verify licensing and usage constraints before using this dataset in production or redistribution.

Ethical Considerations

  • The dataset has not been manually reviewed for sensitive or personal information.
  • Use appropriate filtering and validation for downstream applications.

Citation

If you use this dataset, please cite this Hugging Face repository.

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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
140,000