Dataset Card for "blimp"

Dataset Summary

BLiMP is a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each containing 1000 minimal pairs isolating specific contrasts in syntax, morphology, or semantics. The data is automatically generated according to expert-crafted grammars.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

adjunct_island

• Size of downloaded dataset files: 0.36 MB
• Size of the generated dataset: 0.17 MB
• Total amount of disk used: 0.52 MB

An example of 'train' looks as follows.

{
    "UID": "tough_vs_raising_1",
    "field": "syntax_semantics",
    "lexically_identical": false,
    "linguistics_term": "control_raising",
    "one_prefix_method": false,
    "pair_id": 2,
    "sentence_bad": "Benjamin's tutor was certain to boast about.",
    "sentence_good": "Benjamin's tutor was easy to boast about.",
    "simple_LM_method": true,
    "two_prefix_method": false
}

anaphor_gender_agreement

• Size of downloaded dataset files: 0.44 MB
• Size of the generated dataset: 0.14 MB
• Total amount of disk used: 0.57 MB

An example of 'train' looks as follows.

{
    "UID": "tough_vs_raising_1",
    "field": "syntax_semantics",
    "lexically_identical": false,
    "linguistics_term": "control_raising",
    "one_prefix_method": false,
    "pair_id": 2,
    "sentence_bad": "Benjamin's tutor was certain to boast about.",
    "sentence_good": "Benjamin's tutor was easy to boast about.",
    "simple_LM_method": true,
    "two_prefix_method": false
}

anaphor_number_agreement

• Size of downloaded dataset files: 0.45 MB
• Size of the generated dataset: 0.14 MB
• Total amount of disk used: 0.59 MB

An example of 'train' looks as follows.

{
    "UID": "tough_vs_raising_1",
    "field": "syntax_semantics",
    "lexically_identical": false,
    "linguistics_term": "control_raising",
    "one_prefix_method": false,
    "pair_id": 2,
    "sentence_bad": "Benjamin's tutor was certain to boast about.",
    "sentence_good": "Benjamin's tutor was easy to boast about.",
    "simple_LM_method": true,
    "two_prefix_method": false
}

animate_subject_passive

• Size of downloaded dataset files: 0.46 MB
• Size of the generated dataset: 0.15 MB
• Total amount of disk used: 0.61 MB

An example of 'train' looks as follows.

{
    "UID": "tough_vs_raising_1",
    "field": "syntax_semantics",
    "lexically_identical": false,
    "linguistics_term": "control_raising",
    "one_prefix_method": false,
    "pair_id": 2,
    "sentence_bad": "Benjamin's tutor was certain to boast about.",
    "sentence_good": "Benjamin's tutor was easy to boast about.",
    "simple_LM_method": true,
    "two_prefix_method": false
}

animate_subject_trans

• Size of downloaded dataset files: 0.43 MB
• Size of the generated dataset: 0.13 MB
• Total amount of disk used: 0.57 MB

An example of 'train' looks as follows.

{
    "UID": "tough_vs_raising_1",
    "field": "syntax_semantics",
    "lexically_identical": false,
    "linguistics_term": "control_raising",
    "one_prefix_method": false,
    "pair_id": 2,
    "sentence_bad": "Benjamin's tutor was certain to boast about.",
    "sentence_good": "Benjamin's tutor was easy to boast about.",
    "simple_LM_method": true,
    "two_prefix_method": false
}

Data Fields

The data fields are the same among all splits.

adjunct_island

• sentence_good : a string feature.
• sentence_bad : a string feature.
• field : a string feature.
• linguistics_term : a string feature.
• UID : a string feature.
• simple_LM_method : a bool feature.
• one_prefix_method : a bool feature.
• two_prefix_method : a bool feature.
• lexically_identical : a bool feature.
• pair_id : a int32 feature.

anaphor_gender_agreement

• sentence_good : a string feature.
• sentence_bad : a string feature.
• field : a string feature.
• linguistics_term : a string feature.
• UID : a string feature.
• simple_LM_method : a bool feature.
• one_prefix_method : a bool feature.
• two_prefix_method : a bool feature.
• lexically_identical : a bool feature.
• pair_id : a int32 feature.

anaphor_number_agreement

• sentence_good : a string feature.
• sentence_bad : a string feature.
• field : a string feature.
• linguistics_term : a string feature.
• UID : a string feature.
• simple_LM_method : a bool feature.
• one_prefix_method : a bool feature.
• two_prefix_method : a bool feature.
• lexically_identical : a bool feature.
• pair_id : a int32 feature.

animate_subject_passive

• sentence_good : a string feature.
• sentence_bad : a string feature.
• field : a string feature.
• linguistics_term : a string feature.
• UID : a string feature.
• simple_LM_method : a bool feature.
• one_prefix_method : a bool feature.
• two_prefix_method : a bool feature.
• lexically_identical : a bool feature.
• pair_id : a int32 feature.

animate_subject_trans

• sentence_good : a string feature.
• sentence_bad : a string feature.
• field : a string feature.
• linguistics_term : a string feature.
• UID : a string feature.
• simple_LM_method : a bool feature.
• one_prefix_method : a bool feature.
• two_prefix_method : a bool feature.
• lexically_identical : a bool feature.
• pair_id : a int32 feature.

Data Splits

name	train
adjunct_island	1000
anaphor_gender_agreement	1000
anaphor_number_agreement	1000
animate_subject_passive	1000
animate_subject_trans	1000

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{warstadt2019blimp,
  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},
  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},
  journal={arXiv preprint arXiv:1912.00582},
  year={2019}
}

Contributions

Thanks to @lhoestq , @patrickvonplaten , @thomwolf for adding this dataset.