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Delete legacy dataset_infos.json

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  1. dataset_infos.json +0 -60
dataset_infos.json DELETED
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- {
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- "plain_text": {
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- "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.",
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- "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",
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- "homepage": "http://ai.stanford.edu/~amaas/data/sentiment/",
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- "license": "",
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- "features": {
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- "text": {
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- "dtype": "string",
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- "_type": "Value"
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- },
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- "label": {
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- "names": [
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- "neg",
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- "pos"
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- ],
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- "_type": "ClassLabel"
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- }
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- },
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- "task_templates": [
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- {
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- "task": "text-classification",
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- "label_column": "label"
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- }
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- ],
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- "builder_name": "imdb",
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- "dataset_name": "imdb",
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- "config_name": "plain_text",
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- "version": {
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- "version_str": "1.0.0",
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- "description": "",
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- "major": 1,
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- "minor": 0,
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- "patch": 0
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- },
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- "splits": {
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- "train": {
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- "name": "train",
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- "num_bytes": 33432823,
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- "num_examples": 25000,
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- "dataset_name": null
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- },
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- "test": {
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- "name": "test",
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- "num_bytes": 32650685,
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- "num_examples": 25000,
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- "dataset_name": null
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- },
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- "unsupervised": {
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- "name": "unsupervised",
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- "num_bytes": 67106794,
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- "num_examples": 50000,
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- "dataset_name": null
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- }
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- },
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- "download_size": 83446840,
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- "dataset_size": 133190302,
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- "size_in_bytes": 216637142
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- }
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- }