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albertvillanova HF staff commited on
Commit
5b76995
1 Parent(s): acf1a13

Add wh_questions_subject_gap data files

Browse files
README.md CHANGED
@@ -1752,10 +1752,10 @@ dataset_info:
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  dtype: int32
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  splits:
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  - name: train
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- num_bytes: 196988
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  num_examples: 1000
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- download_size: 389983
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- dataset_size: 196988
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  - config_name: wh_questions_subject_gap_long_distance
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  features:
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  - name: sentence_good
@@ -2141,6 +2141,10 @@ configs:
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  data_files:
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  - split: train
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  path: wh_questions_object_gap/train-*
 
 
 
 
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  ---
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  # Dataset Card for "blimp"
 
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  dtype: int32
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  splits:
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  - name: train
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+ num_bytes: 195593
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  num_examples: 1000
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+ download_size: 71632
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+ dataset_size: 195593
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  - config_name: wh_questions_subject_gap_long_distance
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  features:
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  - name: sentence_good
 
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  data_files:
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  - split: train
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  path: wh_questions_object_gap/train-*
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+ - config_name: wh_questions_subject_gap
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+ data_files:
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+ - split: train
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+ path: wh_questions_subject_gap/train-*
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  ---
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  # Dataset Card for "blimp"
dataset_infos.json CHANGED
@@ -4155,62 +4155,50 @@
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  "features": {
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  "sentence_good": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "sentence_bad": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "field": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "linguistics_term": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "UID": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "simple_LM_method": {
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  "dtype": "bool",
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- "id": null,
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  "_type": "Value"
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  },
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  "one_prefix_method": {
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  "dtype": "bool",
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- "id": null,
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  "_type": "Value"
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  },
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  "two_prefix_method": {
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  "dtype": "bool",
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- "id": null,
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  "_type": "Value"
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  },
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  "lexically_identical": {
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  "dtype": "bool",
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- "id": null,
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  "_type": "Value"
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  },
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  "pair_id": {
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  "dtype": "int32",
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- "id": null,
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  "_type": "Value"
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  }
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  },
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- "supervised_keys": null,
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  "builder_name": "blimp",
 
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  "config_name": "wh_questions_subject_gap",
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  "version": {
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  "version_str": "0.1.0",
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- "description": null,
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- "datasets_version_to_prepare": null,
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  "major": 0,
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  "minor": 1,
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  "patch": 0
@@ -4218,20 +4206,14 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 196988,
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  "num_examples": 1000,
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- "dataset_name": "blimp"
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- }
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- },
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- "download_checksums": {
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- "https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_questions_subject_gap.jsonl": {
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- "num_bytes": 389983,
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- "checksum": "3c33e4efc7182824211ff3288694cf010f4ce84f85c8df67410d784139c722b3"
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  }
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  },
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- "download_size": 389983,
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- "dataset_size": 196988,
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- "size_in_bytes": 586971
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  },
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  "wh_questions_subject_gap_long_distance": {
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  "description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n",
 
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  "features": {
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  "sentence_good": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "sentence_bad": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "field": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "linguistics_term": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "UID": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "simple_LM_method": {
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  "dtype": "bool",
 
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  "_type": "Value"
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  },
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  "one_prefix_method": {
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  "dtype": "bool",
 
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  "_type": "Value"
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  },
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  "two_prefix_method": {
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  "dtype": "bool",
 
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  "_type": "Value"
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  },
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  "lexically_identical": {
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  "dtype": "bool",
 
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  "_type": "Value"
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  },
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  "pair_id": {
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  "dtype": "int32",
 
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  "_type": "Value"
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  }
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  },
 
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  "builder_name": "blimp",
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+ "dataset_name": "blimp",
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  "config_name": "wh_questions_subject_gap",
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  "version": {
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  "version_str": "0.1.0",
 
 
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  "major": 0,
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  "minor": 1,
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  "patch": 0
 
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  "splits": {
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  "train": {
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  "name": "train",
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+ "num_bytes": 195593,
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  "num_examples": 1000,
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+ "dataset_name": null
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 71632,
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+ "dataset_size": 195593,
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+ "size_in_bytes": 267225
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  },
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  "wh_questions_subject_gap_long_distance": {
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  "description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n",
wh_questions_subject_gap/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:a58be1f30174106b6934ca13a7d89716e380a8f2ccd051f6bc20e85ba19904a4
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+ size 71632