README.md

metadata

languages:
  - en
paperswithcode_id: blimp
pretty_name: Benchmark of Linguistic Minimal Pairs

Dataset Card for "blimp"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/alexwarstadt/blimp/tree/master/
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 28.21 MB
• Size of the generated dataset: 10.92 MB
• Total amount of disk used: 39.13 MB

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

We show detailed information for up to 5 configurations of the dataset.

Data Instances

adjunct_island

• Size of downloaded dataset files: 0.34 MB
• Size of the generated dataset: 0.16 MB
• Total amount of disk used: 0.50 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: 0.42 MB
• Size of the generated dataset: 0.13 MB
• Total amount of disk used: 0.54 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: 0.43 MB
• Size of the generated dataset: 0.13 MB
• Total amount of disk used: 0.56 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: 0.44 MB
• Size of the generated dataset: 0.14 MB
• Total amount of disk used: 0.58 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: 0.41 MB
• Size of the generated dataset: 0.12 MB
• Total amount of disk used: 0.54 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

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

More Information Needed

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.