Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
albertvillanova HF staff commited on
Commit
2fa85f9
1 Parent(s): 1087fc1

Delete legacy dataset_infos.json

Browse files
Files changed (1) hide show
  1. dataset_infos.json +0 -60
dataset_infos.json DELETED
@@ -1,60 +0,0 @@
1
- {
2
- "plain_text": {
3
- "description": "Large Movie Review Dataset.\nThis is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.",
4
- "citation": "@InProceedings{maas-EtAl:2011:ACL-HLT2011,\n author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},\n title = {Learning Word Vectors for Sentiment Analysis},\n booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},\n month = {June},\n year = {2011},\n address = {Portland, Oregon, USA},\n publisher = {Association for Computational Linguistics},\n pages = {142--150},\n url = {http://www.aclweb.org/anthology/P11-1015}\n}\n",
5
- "homepage": "http://ai.stanford.edu/~amaas/data/sentiment/",
6
- "license": "",
7
- "features": {
8
- "text": {
9
- "dtype": "string",
10
- "_type": "Value"
11
- },
12
- "label": {
13
- "names": [
14
- "neg",
15
- "pos"
16
- ],
17
- "_type": "ClassLabel"
18
- }
19
- },
20
- "task_templates": [
21
- {
22
- "task": "text-classification",
23
- "label_column": "label"
24
- }
25
- ],
26
- "builder_name": "imdb",
27
- "dataset_name": "imdb",
28
- "config_name": "plain_text",
29
- "version": {
30
- "version_str": "1.0.0",
31
- "description": "",
32
- "major": 1,
33
- "minor": 0,
34
- "patch": 0
35
- },
36
- "splits": {
37
- "train": {
38
- "name": "train",
39
- "num_bytes": 33432823,
40
- "num_examples": 25000,
41
- "dataset_name": null
42
- },
43
- "test": {
44
- "name": "test",
45
- "num_bytes": 32650685,
46
- "num_examples": 25000,
47
- "dataset_name": null
48
- },
49
- "unsupervised": {
50
- "name": "unsupervised",
51
- "num_bytes": 67106794,
52
- "num_examples": 50000,
53
- "dataset_name": null
54
- }
55
- },
56
- "download_size": 83446840,
57
- "dataset_size": 133190302,
58
- "size_in_bytes": 216637142
59
- }
60
- }