Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
License:
File size: 2,201 Bytes
f817a2b |
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{
"default": {
"description": "The Stanford Sentiment Treebank consists of sentences from movie reviews and\nhuman annotations of their sentiment. The task is to predict the sentiment of a\ngiven sentence. We use the two-way (positive/negative) class split, and use only\nsentence-level labels.\n",
"citation": "@inproceedings{socher2013recursive,\n title={Recursive deep models for semantic compositionality over a sentiment treebank},\n author={Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D and Ng, Andrew and Potts, Christopher},\n booktitle={Proceedings of the 2013 conference on empirical methods in natural language processing},\n pages={1631--1642},\n year={2013}\n}\n",
"homepage": "https://nlp.stanford.edu/sentiment/",
"license": "Unknown",
"features": {
"idx": {
"dtype": "int32",
"_type": "Value"
},
"sentence": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
"negative",
"positive"
],
"_type": "ClassLabel"
}
},
"builder_name": "sst2",
"dataset_name": "sst2",
"config_name": "default",
"version": {
"version_str": "2.0.0",
"major": 2,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 4681603,
"num_examples": 67349,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 106252,
"num_examples": 872,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 216640,
"num_examples": 1821,
"dataset_name": null
}
},
"download_size": 3331058,
"dataset_size": 5004495,
"size_in_bytes": 8335553
}
} |