Dataset: blimp


Dataset Card for "blimp"

Table of Contents

Dataset Description

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

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 Sample Size

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

More Information Needed

Annotations

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}
}

Models trained or fine-tuned on blimp

None yet