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albertvillanova HF staff commited on
Commit
1dde59d
1 Parent(s): 3609617

Add determiner_noun_agreement_with_adj_2 data files

Browse files
README.md CHANGED
@@ -408,10 +408,10 @@ 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: 181061
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  num_examples: 1000
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- download_size: 526806
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- dataset_size: 181061
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  - config_name: determiner_noun_agreement_with_adj_irregular_1
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  features:
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  - name: sentence_good
@@ -1949,6 +1949,10 @@ configs:
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  data_files:
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  - split: train
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  path: determiner_noun_agreement_irregular_2/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: 179666
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  num_examples: 1000
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+ download_size: 56346
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+ dataset_size: 179666
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  - config_name: determiner_noun_agreement_with_adj_irregular_1
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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: determiner_noun_agreement_irregular_2/train-*
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+ - config_name: determiner_noun_agreement_with_adj_2
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+ data_files:
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+ - split: train
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+ path: determiner_noun_agreement_with_adj_2/train-*
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  ---
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  # Dataset Card for "blimp"
dataset_infos.json CHANGED
@@ -891,62 +891,50 @@
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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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  "_type": "Value"
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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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  "_type": "Value"
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  "simple_LM_method": {
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  "dtype": "bool",
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  "_type": "Value"
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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": "determiner_noun_agreement_with_adj_2",
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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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  "minor": 1,
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  "patch": 0
@@ -954,20 +942,14 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 181061,
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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/determiner_noun_agreement_with_adj_2.jsonl": {
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- "checksum": "8d2828d7dfbfc3f7191024514060fedb033ea2e232304f63448c33051a85d2b3"
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  }
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- "download_size": 526806,
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- "dataset_size": 181061,
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- "size_in_bytes": 707867
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  },
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  "determiner_noun_agreement_with_adj_irregular_1": {
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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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  "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": "determiner_noun_agreement_with_adj_2",
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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": 179666,
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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": 56346,
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+ "dataset_size": 179666,
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+ "size_in_bytes": 236012
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  },
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  "determiner_noun_agreement_with_adj_irregular_1": {
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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",
determiner_noun_agreement_with_adj_2/train-00000-of-00001.parquet ADDED
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