Datasets:

nyu-mll
/

blimp

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- machine-generated
	language:
	- en
	license: cc-by-4.0
	multilinguality:
	- monolingual
	pretty_name: BLiMP
	size_categories:
	- 10K<n<100K
	source_datasets:
	- original
	task_categories:
	- text-classification
	task_ids:
	- acceptability-classification
	paperswithcode_id: blimp
	dataset_info:
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	---

	# Dataset Card for "blimp"

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [https://github.com/alexwarstadt/blimp/tree/master/](https://github.com/alexwarstadt/blimp/tree/master/)
	- Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Languages

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Dataset Structure

	### 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Licensing Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.