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  1. .gitattributes +0 -27
  2. README.md +0 -2211
  3. adjunct_island/blimp-train.parquet +3 -0
  4. anaphor_gender_agreement/blimp-train.parquet +3 -0
  5. anaphor_number_agreement/blimp-train.parquet +3 -0
  6. animate_subject_passive/blimp-train.parquet +3 -0
  7. animate_subject_trans/blimp-train.parquet +3 -0
  8. blimp.py +0 -182
  9. causative/blimp-train.parquet +3 -0
  10. complex_NP_island/blimp-train.parquet +3 -0
  11. coordinate_structure_constraint_complex_left_branch/blimp-train.parquet +3 -0
  12. coordinate_structure_constraint_object_extraction/blimp-train.parquet +3 -0
  13. dataset_infos.json +0 -0
  14. determiner_noun_agreement_1/blimp-train.parquet +3 -0
  15. determiner_noun_agreement_2/blimp-train.parquet +3 -0
  16. determiner_noun_agreement_irregular_1/blimp-train.parquet +3 -0
  17. determiner_noun_agreement_irregular_2/blimp-train.parquet +3 -0
  18. determiner_noun_agreement_with_adj_2/blimp-train.parquet +3 -0
  19. determiner_noun_agreement_with_adj_irregular_1/blimp-train.parquet +3 -0
  20. determiner_noun_agreement_with_adj_irregular_2/blimp-train.parquet +3 -0
  21. determiner_noun_agreement_with_adjective_1/blimp-train.parquet +3 -0
  22. distractor_agreement_relational_noun/blimp-train.parquet +3 -0
  23. distractor_agreement_relative_clause/blimp-train.parquet +3 -0
  24. drop_argument/blimp-train.parquet +3 -0
  25. ellipsis_n_bar_1/blimp-train.parquet +3 -0
  26. ellipsis_n_bar_2/blimp-train.parquet +3 -0
  27. existential_there_object_raising/blimp-train.parquet +3 -0
  28. existential_there_quantifiers_1/blimp-train.parquet +3 -0
  29. existential_there_quantifiers_2/blimp-train.parquet +3 -0
  30. existential_there_subject_raising/blimp-train.parquet +3 -0
  31. expletive_it_object_raising/blimp-train.parquet +3 -0
  32. inchoative/blimp-train.parquet +3 -0
  33. intransitive/blimp-train.parquet +3 -0
  34. irregular_past_participle_adjectives/blimp-train.parquet +3 -0
  35. irregular_past_participle_verbs/blimp-train.parquet +3 -0
  36. irregular_plural_subject_verb_agreement_1/blimp-train.parquet +3 -0
  37. irregular_plural_subject_verb_agreement_2/blimp-train.parquet +3 -0
  38. left_branch_island_echo_question/blimp-train.parquet +3 -0
  39. left_branch_island_simple_question/blimp-train.parquet +3 -0
  40. matrix_question_npi_licensor_present/blimp-train.parquet +3 -0
  41. npi_present_1/blimp-train.parquet +3 -0
  42. npi_present_2/blimp-train.parquet +3 -0
  43. only_npi_licensor_present/blimp-train.parquet +3 -0
  44. only_npi_scope/blimp-train.parquet +3 -0
  45. passive_1/blimp-train.parquet +3 -0
  46. passive_2/blimp-train.parquet +3 -0
  47. principle_A_c_command/blimp-train.parquet +3 -0
  48. principle_A_case_1/blimp-train.parquet +3 -0
  49. principle_A_case_2/blimp-train.parquet +3 -0
  50. principle_A_domain_1/blimp-train.parquet +3 -0
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README.md DELETED
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- ---
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- annotations_creators:
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- - crowdsourced
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- language_creators:
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- - machine-generated
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1899
- ---
1900
-
1901
- # Dataset Card for "blimp"
1902
-
1903
- ## Table of Contents
1904
- - [Dataset Description](#dataset-description)
1905
- - [Dataset Summary](#dataset-summary)
1906
- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
1907
- - [Languages](#languages)
1908
- - [Dataset Structure](#dataset-structure)
1909
- - [Data Instances](#data-instances)
1910
- - [Data Fields](#data-fields)
1911
- - [Data Splits](#data-splits)
1912
- - [Dataset Creation](#dataset-creation)
1913
- - [Curation Rationale](#curation-rationale)
1914
- - [Source Data](#source-data)
1915
- - [Annotations](#annotations)
1916
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
1917
- - [Considerations for Using the Data](#considerations-for-using-the-data)
1918
- - [Social Impact of Dataset](#social-impact-of-dataset)
1919
- - [Discussion of Biases](#discussion-of-biases)
1920
- - [Other Known Limitations](#other-known-limitations)
1921
- - [Additional Information](#additional-information)
1922
- - [Dataset Curators](#dataset-curators)
1923
- - [Licensing Information](#licensing-information)
1924
- - [Citation Information](#citation-information)
1925
- - [Contributions](#contributions)
1926
-
1927
- ## Dataset Description
1928
-
1929
- - **Homepage:** [https://github.com/alexwarstadt/blimp/tree/master/](https://github.com/alexwarstadt/blimp/tree/master/)
1930
- - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1931
- - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1932
- - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1933
- - **Size of downloaded dataset files:** 28.21 MB
1934
- - **Size of the generated dataset:** 10.92 MB
1935
- - **Total amount of disk used:** 39.13 MB
1936
-
1937
- ### Dataset Summary
1938
-
1939
- BLiMP is a challenge set for evaluating what language models (LMs) know about
1940
- major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each
1941
- containing 1000 minimal pairs isolating specific contrasts in syntax,
1942
- morphology, or semantics. The data is automatically generated according to
1943
- expert-crafted grammars.
1944
-
1945
- ### Supported Tasks and Leaderboards
1946
-
1947
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1948
-
1949
- ### Languages
1950
-
1951
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1952
-
1953
- ## Dataset Structure
1954
-
1955
- ### Data Instances
1956
-
1957
- #### adjunct_island
1958
-
1959
- - **Size of downloaded dataset files:** 0.34 MB
1960
- - **Size of the generated dataset:** 0.16 MB
1961
- - **Total amount of disk used:** 0.50 MB
1962
-
1963
- An example of 'train' looks as follows.
1964
- ```
1965
- {
1966
- "UID": "tough_vs_raising_1",
1967
- "field": "syntax_semantics",
1968
- "lexically_identical": false,
1969
- "linguistics_term": "control_raising",
1970
- "one_prefix_method": false,
1971
- "pair_id": 2,
1972
- "sentence_bad": "Benjamin's tutor was certain to boast about.",
1973
- "sentence_good": "Benjamin's tutor was easy to boast about.",
1974
- "simple_LM_method": true,
1975
- "two_prefix_method": false
1976
- }
1977
- ```
1978
-
1979
- #### anaphor_gender_agreement
1980
-
1981
- - **Size of downloaded dataset files:** 0.42 MB
1982
- - **Size of the generated dataset:** 0.13 MB
1983
- - **Total amount of disk used:** 0.54 MB
1984
-
1985
- An example of 'train' looks as follows.
1986
- ```
1987
- {
1988
- "UID": "tough_vs_raising_1",
1989
- "field": "syntax_semantics",
1990
- "lexically_identical": false,
1991
- "linguistics_term": "control_raising",
1992
- "one_prefix_method": false,
1993
- "pair_id": 2,
1994
- "sentence_bad": "Benjamin's tutor was certain to boast about.",
1995
- "sentence_good": "Benjamin's tutor was easy to boast about.",
1996
- "simple_LM_method": true,
1997
- "two_prefix_method": false
1998
- }
1999
- ```
2000
-
2001
- #### anaphor_number_agreement
2002
-
2003
- - **Size of downloaded dataset files:** 0.43 MB
2004
- - **Size of the generated dataset:** 0.13 MB
2005
- - **Total amount of disk used:** 0.56 MB
2006
-
2007
- An example of 'train' looks as follows.
2008
- ```
2009
- {
2010
- "UID": "tough_vs_raising_1",
2011
- "field": "syntax_semantics",
2012
- "lexically_identical": false,
2013
- "linguistics_term": "control_raising",
2014
- "one_prefix_method": false,
2015
- "pair_id": 2,
2016
- "sentence_bad": "Benjamin's tutor was certain to boast about.",
2017
- "sentence_good": "Benjamin's tutor was easy to boast about.",
2018
- "simple_LM_method": true,
2019
- "two_prefix_method": false
2020
- }
2021
- ```
2022
-
2023
- #### animate_subject_passive
2024
-
2025
- - **Size of downloaded dataset files:** 0.44 MB
2026
- - **Size of the generated dataset:** 0.14 MB
2027
- - **Total amount of disk used:** 0.58 MB
2028
-
2029
- An example of 'train' looks as follows.
2030
- ```
2031
- {
2032
- "UID": "tough_vs_raising_1",
2033
- "field": "syntax_semantics",
2034
- "lexically_identical": false,
2035
- "linguistics_term": "control_raising",
2036
- "one_prefix_method": false,
2037
- "pair_id": 2,
2038
- "sentence_bad": "Benjamin's tutor was certain to boast about.",
2039
- "sentence_good": "Benjamin's tutor was easy to boast about.",
2040
- "simple_LM_method": true,
2041
- "two_prefix_method": false
2042
- }
2043
- ```
2044
-
2045
- #### animate_subject_trans
2046
-
2047
- - **Size of downloaded dataset files:** 0.41 MB
2048
- - **Size of the generated dataset:** 0.12 MB
2049
- - **Total amount of disk used:** 0.54 MB
2050
-
2051
- An example of 'train' looks as follows.
2052
- ```
2053
- {
2054
- "UID": "tough_vs_raising_1",
2055
- "field": "syntax_semantics",
2056
- "lexically_identical": false,
2057
- "linguistics_term": "control_raising",
2058
- "one_prefix_method": false,
2059
- "pair_id": 2,
2060
- "sentence_bad": "Benjamin's tutor was certain to boast about.",
2061
- "sentence_good": "Benjamin's tutor was easy to boast about.",
2062
- "simple_LM_method": true,
2063
- "two_prefix_method": false
2064
- }
2065
- ```
2066
-
2067
- ### Data Fields
2068
-
2069
- The data fields are the same among all splits.
2070
-
2071
- #### adjunct_island
2072
- - `sentence_good`: a `string` feature.
2073
- - `sentence_bad`: a `string` feature.
2074
- - `field`: a `string` feature.
2075
- - `linguistics_term`: a `string` feature.
2076
- - `UID`: a `string` feature.
2077
- - `simple_LM_method`: a `bool` feature.
2078
- - `one_prefix_method`: a `bool` feature.
2079
- - `two_prefix_method`: a `bool` feature.
2080
- - `lexically_identical`: a `bool` feature.
2081
- - `pair_id`: a `int32` feature.
2082
-
2083
- #### anaphor_gender_agreement
2084
- - `sentence_good`: a `string` feature.
2085
- - `sentence_bad`: a `string` feature.
2086
- - `field`: a `string` feature.
2087
- - `linguistics_term`: a `string` feature.
2088
- - `UID`: a `string` feature.
2089
- - `simple_LM_method`: a `bool` feature.
2090
- - `one_prefix_method`: a `bool` feature.
2091
- - `two_prefix_method`: a `bool` feature.
2092
- - `lexically_identical`: a `bool` feature.
2093
- - `pair_id`: a `int32` feature.
2094
-
2095
- #### anaphor_number_agreement
2096
- - `sentence_good`: a `string` feature.
2097
- - `sentence_bad`: a `string` feature.
2098
- - `field`: a `string` feature.
2099
- - `linguistics_term`: a `string` feature.
2100
- - `UID`: a `string` feature.
2101
- - `simple_LM_method`: a `bool` feature.
2102
- - `one_prefix_method`: a `bool` feature.
2103
- - `two_prefix_method`: a `bool` feature.
2104
- - `lexically_identical`: a `bool` feature.
2105
- - `pair_id`: a `int32` feature.
2106
-
2107
- #### animate_subject_passive
2108
- - `sentence_good`: a `string` feature.
2109
- - `sentence_bad`: a `string` feature.
2110
- - `field`: a `string` feature.
2111
- - `linguistics_term`: a `string` feature.
2112
- - `UID`: a `string` feature.
2113
- - `simple_LM_method`: a `bool` feature.
2114
- - `one_prefix_method`: a `bool` feature.
2115
- - `two_prefix_method`: a `bool` feature.
2116
- - `lexically_identical`: a `bool` feature.
2117
- - `pair_id`: a `int32` feature.
2118
-
2119
- #### animate_subject_trans
2120
- - `sentence_good`: a `string` feature.
2121
- - `sentence_bad`: a `string` feature.
2122
- - `field`: a `string` feature.
2123
- - `linguistics_term`: a `string` feature.
2124
- - `UID`: a `string` feature.
2125
- - `simple_LM_method`: a `bool` feature.
2126
- - `one_prefix_method`: a `bool` feature.
2127
- - `two_prefix_method`: a `bool` feature.
2128
- - `lexically_identical`: a `bool` feature.
2129
- - `pair_id`: a `int32` feature.
2130
-
2131
- ### Data Splits
2132
-
2133
- | name |train|
2134
- |------------------------|----:|
2135
- |adjunct_island | 1000|
2136
- |anaphor_gender_agreement| 1000|
2137
- |anaphor_number_agreement| 1000|
2138
- |animate_subject_passive | 1000|
2139
- |animate_subject_trans | 1000|
2140
-
2141
- ## Dataset Creation
2142
-
2143
- ### Curation Rationale
2144
-
2145
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2146
-
2147
- ### Source Data
2148
-
2149
- #### Initial Data Collection and Normalization
2150
-
2151
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2152
-
2153
- #### Who are the source language producers?
2154
-
2155
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2156
-
2157
- ### Annotations
2158
-
2159
- #### Annotation process
2160
-
2161
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2162
-
2163
- #### Who are the annotators?
2164
-
2165
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2166
-
2167
- ### Personal and Sensitive Information
2168
-
2169
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2170
-
2171
- ## Considerations for Using the Data
2172
-
2173
- ### Social Impact of Dataset
2174
-
2175
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2176
-
2177
- ### Discussion of Biases
2178
-
2179
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2180
-
2181
- ### Other Known Limitations
2182
-
2183
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2184
-
2185
- ## Additional Information
2186
-
2187
- ### Dataset Curators
2188
-
2189
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2190
-
2191
- ### Licensing Information
2192
-
2193
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
2194
-
2195
- ### Citation Information
2196
-
2197
- ```
2198
-
2199
- @article{warstadt2019blimp,
2200
- title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},
2201
- author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},
2202
- journal={arXiv preprint arXiv:1912.00582},
2203
- year={2019}
2204
- }
2205
-
2206
- ```
2207
-
2208
-
2209
- ### Contributions
2210
-
2211
- Thanks to [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ size 41546
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+ size 47281
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+ size 49650
blimp.py DELETED
@@ -1,182 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
3
- #
4
- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
10
- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
-
16
- # Lint as: python3
17
- """BLiMP dataset with minimal pairs of grammatical phenomena in English."""
18
-
19
-
20
- import json
21
-
22
- import datasets
23
-
24
-
25
- _CITATION = """
26
- @article{warstadt2019blimp,
27
- title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},
28
- author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},
29
- journal={arXiv preprint arXiv:1912.00582},
30
- year={2019}
31
- }
32
- """
33
-
34
- _DESCRIPTION = """
35
- BLiMP is a challenge set for evaluating what language models (LMs) know about
36
- major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each
37
- containing 1000 minimal pairs isolating specific contrasts in syntax,
38
- morphology, or semantics. The data is automatically generated according to
39
- expert-crafted grammars.
40
- """
41
-
42
- _PROJECT_URL = "https://github.com/alexwarstadt/blimp/tree/master/"
43
- _DOWNLOAD_URL = "https://raw.githubusercontent.com/alexwarstadt/blimp/master/"
44
-
45
-
46
- class BlimpConfig(datasets.BuilderConfig):
47
- """BuilderConfig for Blimp."""
48
-
49
- def __init__(self, name, version=datasets.Version("0.1.0"), **kwargs):
50
- """BuilderConfig for Blimp.
51
-
52
- Args:
53
- name (str): UID of the linguistic paradigm
54
- **kwargs: keyword arguments forwarded to super.
55
- """
56
- description = _DESCRIPTION
57
- description += f"This configuration includes the paradigm {name}."
58
-
59
- super().__init__(name=name, description=description, version=version, **kwargs)
60
-
61
-
62
- class Blimp(datasets.GeneratorBasedBuilder):
63
- """Minimal grammatical and ungrammatical pairs of 67 linguistic paradigms."""
64
-
65
- all_paradigms = [
66
- "adjunct_island",
67
- "anaphor_gender_agreement",
68
- "anaphor_number_agreement",
69
- "animate_subject_passive",
70
- "animate_subject_trans",
71
- "causative",
72
- "complex_NP_island",
73
- "coordinate_structure_constraint_complex_left_branch",
74
- "coordinate_structure_constraint_object_extraction",
75
- "determiner_noun_agreement_1",
76
- "determiner_noun_agreement_2",
77
- "determiner_noun_agreement_irregular_1",
78
- "determiner_noun_agreement_irregular_2",
79
- "determiner_noun_agreement_with_adj_2",
80
- "determiner_noun_agreement_with_adj_irregular_1",
81
- "determiner_noun_agreement_with_adj_irregular_2",
82
- "determiner_noun_agreement_with_adjective_1",
83
- "distractor_agreement_relational_noun",
84
- "distractor_agreement_relative_clause",
85
- "drop_argument",
86
- "ellipsis_n_bar_1",
87
- "ellipsis_n_bar_2",
88
- "existential_there_object_raising",
89
- "existential_there_quantifiers_1",
90
- "existential_there_quantifiers_2",
91
- "existential_there_subject_raising",
92
- "expletive_it_object_raising",
93
- "inchoative",
94
- "intransitive",
95
- "irregular_past_participle_adjectives",
96
- "irregular_past_participle_verbs",
97
- "irregular_plural_subject_verb_agreement_1",
98
- "irregular_plural_subject_verb_agreement_2",
99
- "left_branch_island_echo_question",
100
- "left_branch_island_simple_question",
101
- "matrix_question_npi_licensor_present",
102
- "npi_present_1",
103
- "npi_present_2",
104
- "only_npi_licensor_present",
105
- "only_npi_scope",
106
- "passive_1",
107
- "passive_2",
108
- "principle_A_c_command",
109
- "principle_A_case_1",
110
- "principle_A_case_2",
111
- "principle_A_domain_1",
112
- "principle_A_domain_2",
113
- "principle_A_domain_3",
114
- "principle_A_reconstruction",
115
- "regular_plural_subject_verb_agreement_1",
116
- "regular_plural_subject_verb_agreement_2",
117
- "sentential_negation_npi_licensor_present",
118
- "sentential_negation_npi_scope",
119
- "sentential_subject_island",
120
- "superlative_quantifiers_1",
121
- "superlative_quantifiers_2",
122
- "tough_vs_raising_1",
123
- "tough_vs_raising_2",
124
- "transitive",
125
- "wh_island",
126
- "wh_questions_object_gap",
127
- "wh_questions_subject_gap",
128
- "wh_questions_subject_gap_long_distance",
129
- "wh_vs_that_no_gap",
130
- "wh_vs_that_no_gap_long_distance",
131
- "wh_vs_that_with_gap",
132
- "wh_vs_that_with_gap_long_distance",
133
- ]
134
-
135
- BUILDER_CONFIGS = [BlimpConfig(paradigm) for paradigm in all_paradigms]
136
-
137
- def _info(self):
138
- return datasets.DatasetInfo(
139
- description=_DESCRIPTION,
140
- features=datasets.Features(
141
- {
142
- "sentence_good": datasets.Value("string"),
143
- "sentence_bad": datasets.Value("string"),
144
- "field": datasets.Value("string"),
145
- "linguistics_term": datasets.Value("string"),
146
- "UID": datasets.Value("string"),
147
- "simple_LM_method": datasets.Value("bool"),
148
- "one_prefix_method": datasets.Value("bool"),
149
- "two_prefix_method": datasets.Value("bool"),
150
- "lexically_identical": datasets.Value("bool"),
151
- "pair_id": datasets.Value("int32"),
152
- }
153
- ),
154
- homepage=_PROJECT_URL,
155
- citation=_CITATION,
156
- )
157
-
158
- def _split_generators(self, dl_manager):
159
- """Returns SplitGenerators."""
160
- download_urls = _DOWNLOAD_URL + f"data/{self.config.name}.jsonl"
161
- downloaded_file = dl_manager.download_and_extract(download_urls)
162
- return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file})]
163
-
164
- def _generate_examples(self, filepath):
165
- """Yields examples."""
166
- with open(filepath, "r", encoding="utf-8") as f:
167
- for line in f:
168
- line_dict = json.loads(line)
169
- id_ = line_dict["UID"] + "_" + line_dict["pairID"]
170
- feats = {
171
- "sentence_good": line_dict["sentence_good"],
172
- "sentence_bad": line_dict["sentence_bad"],
173
- "field": line_dict["field"],
174
- "linguistics_term": line_dict["linguistics_term"],
175
- "UID": line_dict["UID"],
176
- "simple_LM_method": line_dict["simple_LM_method"],
177
- "one_prefix_method": line_dict["one_prefix_method"],
178
- "two_prefix_method": line_dict["two_prefix_method"],
179
- "lexically_identical": line_dict["lexically_identical"],
180
- "pair_id": int(line_dict["pairID"]),
181
- }
182
- yield id_, feats
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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