Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
machine-generated
Annotations Creators:
machine-generated
Source Datasets:
original
Tags:
License:
albertvillanova HF staff commited on
Commit
0bbcb86
1 Parent(s): caa51db

Add implicature_gradable_adjective data files

Browse files
README.md CHANGED
@@ -84,10 +84,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: gradable_adjective
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- num_bytes: 153672
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  num_examples: 1200
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- download_size: 335088
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- dataset_size: 153672
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  - config_name: implicature_gradable_verb
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  features:
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  - name: premise
@@ -560,6 +560,10 @@ configs:
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  data_files:
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  - split: connectives
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  path: implicature_connectives/connectives-*
 
 
 
 
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  - config_name: presupposition_all_n_presupposition
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  data_files:
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  - split: all_n_presupposition
 
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  dtype: string
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  splits:
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  - name: gradable_adjective
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+ num_bytes: 153648
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  num_examples: 1200
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+ download_size: 17337
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+ dataset_size: 153648
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  - config_name: implicature_gradable_verb
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  features:
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  - name: premise
 
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  data_files:
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  - split: connectives
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  path: implicature_connectives/connectives-*
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+ - config_name: implicature_gradable_adjective
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+ data_files:
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+ - split: gradable_adjective
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+ path: implicature_gradable_adjective/gradable_adjective-*
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  - config_name: presupposition_all_n_presupposition
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  data_files:
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  - split: all_n_presupposition
dataset_infos.json CHANGED
@@ -723,64 +723,50 @@
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  "features": {
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  "premise": {
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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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  "hypothesis": {
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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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  "gold_label_log": {
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- "num_classes": 3,
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  "names": [
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  "entailment",
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  "neutral",
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  "contradiction"
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  ],
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- "names_file": null,
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- "id": null,
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  "_type": "ClassLabel"
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  },
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  "gold_label_prag": {
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- "num_classes": 3,
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  "names": [
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  "entailment",
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  "neutral",
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  "contradiction"
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  ],
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- "names_file": null,
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- "id": null,
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  "_type": "ClassLabel"
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  },
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  "spec_relation": {
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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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  "item_type": {
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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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  "trigger": {
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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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  "lexemes": {
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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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  },
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- "post_processed": null,
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- "supervised_keys": null,
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- "builder_name": "imppres",
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  "config_name": "implicature_gradable_adjective",
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  "version": {
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  "version_str": "1.1.0",
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- "description": null,
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  "major": 1,
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  "minor": 1,
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  "patch": 0
@@ -788,21 +774,14 @@
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  "splits": {
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  "gradable_adjective": {
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  "name": "gradable_adjective",
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- "num_bytes": 153672,
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  "num_examples": 1200,
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- "dataset_name": "imppres"
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- }
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- },
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- "download_checksums": {
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- "https://github.com/facebookresearch/Imppres/blob/master/dataset/IMPPRES.zip?raw=true": {
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- "num_bytes": 335088,
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- "checksum": "f1f4ab03aec2248dcfbcb00b80e6099c592751cca2b542b208c6cf46f2926937"
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  }
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  },
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- "download_size": 335088,
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- "post_processing_size": null,
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- "dataset_size": 153672,
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- "size_in_bytes": 488760
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  },
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  "implicature_gradable_verb": {
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  "description": "Over >25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types. IMPPRES is an NLI dataset following the format of SNLI (Bowman et al., 2015), MultiNLI (Williams et al., 2018) and XNLI (Conneau et al., 2018), which was created to evaluate how well trained NLI models recognize several classes of presuppositions and scalar implicatures.",
 
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  "features": {
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  "premise": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "hypothesis": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "gold_label_log": {
 
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  "names": [
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  "entailment",
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  "neutral",
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  "contradiction"
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  ],
 
 
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  "_type": "ClassLabel"
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  },
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  "gold_label_prag": {
 
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  "names": [
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  "entailment",
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  "neutral",
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  "contradiction"
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  ],
 
 
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  "_type": "ClassLabel"
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  },
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  "spec_relation": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "item_type": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "trigger": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "lexemes": {
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  "dtype": "string",
 
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  "_type": "Value"
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  }
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  },
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+ "builder_name": "parquet",
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+ "dataset_name": "imppres",
 
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  "config_name": "implicature_gradable_adjective",
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  "version": {
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  "version_str": "1.1.0",
 
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  "major": 1,
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  "minor": 1,
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  "patch": 0
 
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  "splits": {
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  "gradable_adjective": {
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  "name": "gradable_adjective",
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+ "num_bytes": 153648,
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  "num_examples": 1200,
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+ "dataset_name": null
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 17337,
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+ "dataset_size": 153648,
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+ "size_in_bytes": 170985
 
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  },
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  "implicature_gradable_verb": {
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  "description": "Over >25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types. IMPPRES is an NLI dataset following the format of SNLI (Bowman et al., 2015), MultiNLI (Williams et al., 2018) and XNLI (Conneau et al., 2018), which was created to evaluate how well trained NLI models recognize several classes of presuppositions and scalar implicatures.",
implicature_gradable_adjective/gradable_adjective-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:665847d1cbc1f66cbca03034de631fed35d8a58aa61637b4b56d4e52cfde9a8f
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+ size 17337