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Browse files- ~/tensorflow_datasets/imdb_reviews/.config/metadata.json +0 -1
- ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/dataset_info.json +0 -140
- ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/features.json +0 -17
- ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/imdb_reviews-test.tfrecord-00000-of-00001 +0 -3
- ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/imdb_reviews-train.tfrecord-00000-of-00001 +0 -3
- ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/imdb_reviews-unsupervised.tfrecord-00000-of-00001 +0 -3
- ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/label.labels.txt +0 -2
~/tensorflow_datasets/imdb_reviews/.config/metadata.json
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{"default_config_name": "plain_text"}
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~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/dataset_info.json
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{
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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}",
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"configDescription": "Plain text",
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"configName": "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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"downloadSize": "84125825",
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"fileFormat": "tfrecord",
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"location": {
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"urls": [
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"http://ai.stanford.edu/~amaas/data/sentiment/"
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]
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},
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"moduleName": "tensorflow_datasets.text.imdb",
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"name": "imdb_reviews",
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"releaseNotes": {
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"1.0.0": "New split API (https://tensorflow.org/datasets/splits)"
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{
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"filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
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"supervisedKeys": {
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"version": "1.0.0"
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~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/features.json
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"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
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"featuresDict": {
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"features": {
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"text": {
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"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
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"text": {}
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"pythonClassName": "tensorflow_datasets.core.features.class_label_feature.ClassLabel",
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"numClasses": "2"
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~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/imdb_reviews-test.tfrecord-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:5102d5b92e30ba2bc678da78f31e5b6320d71ad7bf072b1ae06cf6033db7d52f
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size 33675595
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~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/imdb_reviews-train.tfrecord-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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size 34457750
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~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/imdb_reviews-unsupervised.tfrecord-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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size 69606612
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~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0/label.labels.txt
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pos
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