Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K - 100K
License:
Commit
•
e62622d
1
Parent(s):
f890c1e
Add implicature_modals data files
Browse files- README.md +7 -3
- dataset_infos.json +7 -28
- implicature_modals/modals-00000-of-00001.parquet +3 -0
README.md
CHANGED
@@ -152,10 +152,10 @@ dataset_info:
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dtype: string
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splits:
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- name: modals
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-
num_bytes:
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num_examples: 1200
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-
download_size:
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-
dataset_size:
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- config_name: implicature_numerals_10_100
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features:
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- name: premise
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@@ -568,6 +568,10 @@ configs:
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data_files:
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- split: gradable_verb
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path: implicature_gradable_verb/gradable_verb-*
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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: modals
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+
num_bytes: 178536
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num_examples: 1200
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+
download_size: 21179
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+
dataset_size: 178536
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- config_name: implicature_numerals_10_100
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features:
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- name: premise
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data_files:
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- split: gradable_verb
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path: implicature_gradable_verb/gradable_verb-*
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+
- config_name: implicature_modals
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data_files:
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- split: modals
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path: implicature_modals/modals-*
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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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dataset_infos.json
CHANGED
@@ -859,64 +859,50 @@
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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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-
"
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-
"
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"builder_name": "imppres",
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"config_name": "implicature_modals",
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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
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"splits": {
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"modals": {
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"name": "modals",
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-
"num_bytes":
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"num_examples": 1200,
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-
"dataset_name":
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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":
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-
"
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-
"
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-
"size_in_bytes": 513648
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},
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"implicature_numerals_10_100": {
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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_modals",
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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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"modals": {
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"name": "modals",
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+
"num_bytes": 178536,
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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": 21179,
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+
"dataset_size": 178536,
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+
"size_in_bytes": 199715
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},
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"implicature_numerals_10_100": {
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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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implicature_modals/modals-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 sha256:93cb8c075318e9d10278c9c7b04009b4ad0b30779d615bdeee9dfaffa8f86873
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+
size 21179
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