Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
acceptability-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - machine-generated | |
| language: | |
| - en | |
| license: | |
| - unknown | |
| 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 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. | |