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The dataset preview is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ClientPayloadError
Message:      400, message='Can not decode content-encoding: gzip'
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
                  rows = get_rows(
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
                  return func(*args, **kwargs)
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 176, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 917, in __iter__
                  for key, example in ex_iterable:
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/hellaswag/c37cd37196278995f42bc32f532730ae9b0d5f0f4a2d3b97735c17ff3ad67169/hellaswag.py", line 95, in _generate_examples
                  for id_, row in enumerate(f):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 594, in read
                  return super().read(length)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1684, in read
                  out = self.cache._fetch(self.loc, self.loc + length)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 381, in _fetch
                  self.cache = self.fetcher(start, bend)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 114, in wrapper
                  return sync(self.loop, func, *args, **kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 99, in sync
                  raise return_result
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 54, in _runner
                  result[0] = await coro
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 663, in async_fetch_range
                  out = await r.read()
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/aiohttp/client_reqrep.py", line 1037, in read
                  self._body = await self.content.read()
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/aiohttp/streams.py", line 349, in read
                  raise self._exception
              aiohttp.client_exceptions.ClientPayloadError: 400, message='Can not decode content-encoding: gzip'

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Dataset Card for "hellaswag"

Dataset Summary

HellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

  • Size of downloaded dataset files: 68.18 MB
  • Size of the generated dataset: 62.29 MB
  • Total amount of disk used: 130.47 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "activity_label": "Removing ice from car",
    "ctx": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles. then",
    "ctx_a": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles.",
    "ctx_b": "then",
    "endings": "[\", the man adds wax to the windshield and cuts it.\", \", a person board a ski lift, while two men supporting the head of the per...",
    "ind": 4,
    "label": "3",
    "source_id": "activitynet~v_-1IBHYS3L-Y",
    "split": "train",
    "split_type": "indomain"
}

Data Fields

The data fields are the same among all splits.

default

  • ind: a int32 feature.
  • activity_label: a string feature.
  • ctx_a: a string feature.
  • ctx_b: a string feature.
  • ctx: a string feature.
  • endings: a list of string features.
  • source_id: a string feature.
  • split: a string feature.
  • split_type: a string feature.
  • label: a string feature.

Data Splits

name train validation test
default 39905 10042 10003

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

MIT https://github.com/rowanz/hellaswag/blob/master/LICENSE

Citation Information

@inproceedings{zellers2019hellaswag,
    title={HellaSwag: Can a Machine Really Finish Your Sentence?},
    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
    year={2019}
}

Contributions

Thanks to @albertvillanova, @mariamabarham, @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.

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