albertvillanova HF staff commited on
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610bdae
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Convert dataset to Parquet

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Convert dataset to Parquet.

README.md CHANGED
@@ -1,5 +1,4 @@
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  ---
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- pretty_name: IMDB
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  annotations_creators:
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  - expert-generated
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  language_creators:
@@ -19,6 +18,40 @@ task_categories:
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  task_ids:
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  - sentiment-classification
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  paperswithcode_id: imdb-movie-reviews
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  train-eval-index:
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  - config: plain_text
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  task: text-classification
@@ -68,29 +101,6 @@ train-eval-index:
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  name: Recall weighted
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  args:
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  average: weighted
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- dataset_info:
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- features:
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- - name: text
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- dtype: string
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- - name: label
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- dtype:
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- class_label:
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- names:
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- 0: neg
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- 1: pos
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- config_name: plain_text
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- splits:
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- - name: train
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- num_bytes: 33432835
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- num_examples: 25000
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- - name: test
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- num_bytes: 32650697
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- num_examples: 25000
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- - name: unsupervised
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- num_bytes: 67106814
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- num_examples: 50000
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- download_size: 84125825
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- dataset_size: 133190346
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  ---
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  # Dataset Card for "imdb"
 
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  ---
 
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  annotations_creators:
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  - expert-generated
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  language_creators:
 
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  task_ids:
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  - sentiment-classification
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  paperswithcode_id: imdb-movie-reviews
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+ pretty_name: IMDB
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+ dataset_info:
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+ config_name: plain_text
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+ features:
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+ - name: text
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+ dtype: string
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': neg
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+ '1': pos
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+ splits:
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+ - name: train
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+ num_bytes: 33432823
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+ num_examples: 25000
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+ - name: test
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+ num_bytes: 32650685
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+ num_examples: 25000
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+ - name: unsupervised
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+ num_bytes: 67106794
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+ num_examples: 50000
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+ download_size: 83446840
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+ dataset_size: 133190302
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+ configs:
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+ - config_name: plain_text
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+ data_files:
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+ - split: train
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+ path: plain_text/train-*
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+ - split: test
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+ path: plain_text/test-*
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+ - split: unsupervised
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+ path: plain_text/unsupervised-*
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+ default: true
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  train-eval-index:
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  - config: plain_text
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  task: text-classification
 
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  name: Recall weighted
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  args:
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  average: weighted
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "imdb"
dataset_infos.json CHANGED
@@ -1 +1,60 @@
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- {"plain_text": {"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.", "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", "homepage": "http://ai.stanford.edu/~amaas/data/sentiment/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["neg", "pos"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label", "labels": ["neg", "pos"]}], "builder_name": "imdb", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 33432835, "num_examples": 25000, "dataset_name": "imdb"}, "test": {"name": "test", "num_bytes": 32650697, "num_examples": 25000, "dataset_name": "imdb"}, "unsupervised": {"name": "unsupervised", "num_bytes": 67106814, "num_examples": 50000, "dataset_name": "imdb"}}, "download_checksums": {"http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz": {"num_bytes": 84125825, "checksum": "c40f74a18d3b61f90feba1e17730e0d38e8b97c05fde7008942e91923d1658fe"}}, "download_size": 84125825, "post_processing_size": null, "dataset_size": 133190346, "size_in_bytes": 217316171}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ "_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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+ "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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+ "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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+ }
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