Références :
glucose
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:glucose/glucose')
- Description :
When humans read or listen, they make implicit commonsense inferences that frame their understanding of what happened and why. As a step toward AI systems that can build similar mental models, we introduce GLUCOSE, a large-scale dataset of implicit commonsense causal knowledge, encoded as causal mini-theories about the world, each grounded in a narrative context.
- Licence : Creative Commons Attribution-NonCommercial 4.0 Licence publique internationale
- Version : 0.0.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 500 |
'train' | 65522 |
- Caractéristiques :
{
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"dtype": "string",
"id": null,
"_type": "Value"
},
"story_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"worker_id": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"worker_ids": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"submission_time_normalized": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"worker_quality_assessment": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"selected_sentence_index": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"story": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"selected_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"number_filled_in": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"1_specificNL": {
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"id": null,
"_type": "Value"
},
"1_specificStructured": {
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"id": null,
"_type": "Value"
},
"1_generalNL": {
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},
"3_specificNL": {
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"_type": "Value"
},
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"4_specificNL": {
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"10_generalStructured": {
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}
}