Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
License:
Commit
·
703426c
1
Parent(s):
283dc80
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -57
dataset_infos.json
DELETED
|
@@ -1,57 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"default": {
|
| 3 |
-
"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",
|
| 4 |
-
"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",
|
| 5 |
-
"homepage": "https://nlp.stanford.edu/sentiment/",
|
| 6 |
-
"license": "Unknown",
|
| 7 |
-
"features": {
|
| 8 |
-
"idx": {
|
| 9 |
-
"dtype": "int32",
|
| 10 |
-
"_type": "Value"
|
| 11 |
-
},
|
| 12 |
-
"sentence": {
|
| 13 |
-
"dtype": "string",
|
| 14 |
-
"_type": "Value"
|
| 15 |
-
},
|
| 16 |
-
"label": {
|
| 17 |
-
"names": [
|
| 18 |
-
"negative",
|
| 19 |
-
"positive"
|
| 20 |
-
],
|
| 21 |
-
"_type": "ClassLabel"
|
| 22 |
-
}
|
| 23 |
-
},
|
| 24 |
-
"builder_name": "sst2",
|
| 25 |
-
"dataset_name": "sst2",
|
| 26 |
-
"config_name": "default",
|
| 27 |
-
"version": {
|
| 28 |
-
"version_str": "2.0.0",
|
| 29 |
-
"major": 2,
|
| 30 |
-
"minor": 0,
|
| 31 |
-
"patch": 0
|
| 32 |
-
},
|
| 33 |
-
"splits": {
|
| 34 |
-
"train": {
|
| 35 |
-
"name": "train",
|
| 36 |
-
"num_bytes": 4681603,
|
| 37 |
-
"num_examples": 67349,
|
| 38 |
-
"dataset_name": null
|
| 39 |
-
},
|
| 40 |
-
"validation": {
|
| 41 |
-
"name": "validation",
|
| 42 |
-
"num_bytes": 106252,
|
| 43 |
-
"num_examples": 872,
|
| 44 |
-
"dataset_name": null
|
| 45 |
-
},
|
| 46 |
-
"test": {
|
| 47 |
-
"name": "test",
|
| 48 |
-
"num_bytes": 216640,
|
| 49 |
-
"num_examples": 1821,
|
| 50 |
-
"dataset_name": null
|
| 51 |
-
}
|
| 52 |
-
},
|
| 53 |
-
"download_size": 3331058,
|
| 54 |
-
"dataset_size": 5004495,
|
| 55 |
-
"size_in_bytes": 8335553
|
| 56 |
-
}
|
| 57 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|