Dataset Preview
Go to dataset viewer
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:    NotImplementedError
Message:      os.path.isdir is not extended to support URLs in streaming mode
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 485, in compute_first_rows_response
                  rows = get_rows(
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 120, in decorator
                  return func(*args, **kwargs)
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 164, in get_rows
                  ds = load_dataset(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 1751, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 1206, in as_streaming_dataset
                  splits_generators = { sg for sg in self._split_generators(dl_manager)}
                File "/tmp/modules-cache/datasets_modules/datasets/mwsc/b681150e71b8e16aaf9db78afaa3ece393c1977337c46609f12e60034030b2da/", line 56, in _split_generators
                  if os.path.isdir(schemas_file):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 70, in wrapper
                  return function(*args, use_auth_token=use_auth_token, **kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/", line 332, in xisdir
                  raise NotImplementedError("os.path.isdir is not extended to support URLs in streaming mode")
              NotImplementedError: os.path.isdir is not extended to support URLs in streaming mode

Need help to make the dataset viewer work? Open an discussion for direct support.

Dataset Card for The modified Winograd Schema Challenge (MWSC)

Dataset Summary

Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context. This Modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.

Supported Tasks and Leaderboards

More Information Needed


More Information Needed

Dataset Structure

Data Instances


  • Size of downloaded dataset files: 0.02 MB
  • Size of the generated dataset: 0.04 MB
  • Total amount of disk used: 0.06 MB

An example looks as follows:

    "sentence": "The city councilmen refused the demonstrators a permit because they feared violence.",
    "question": "Who feared violence?",
    "options": [ "councilmen", "demonstrators" ],
    "answer": "councilmen"

Data Fields

The data fields are the same among all splits.


  • sentence: a string feature.
  • question: a string feature.
  • options: a list of string features.
  • answer: a string feature.

Data Splits

name train validation test
default 80 82 100

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


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

Our code for running decaNLP has been open sourced under BSD-3-Clause.

We chose to restrict decaNLP to datasets that were free and publicly accessible for research, but you should check their individual terms if you deviate from this use case.

From the Winograd Schema Challenge:

Both versions of the collections are licenced under a Creative Commons Attribution 4.0 International License.

Citation Information

If you use this in your work, please cite:

  title={The Natural Language Decathlon: Multitask Learning as Question Answering},
  author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
  journal={arXiv preprint arXiv:1806.08730},


Thanks to @thomwolf, @lewtun, @ghomasHudson, @lhoestq for adding this dataset.

Downloads last month