Download dataset_info.json from Lumos/imdb_test: direct link, hf CLI and curl.
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- Download file 2.42 kB
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https://huggingface.co/datasets/Lumos/imdb_test/resolve/main/dataset_info.json
- Command line
-
hf download hf://datasets/Lumos/imdb_test/dataset_info.json
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curl -L -o dataset_info.json https://huggingface.co/datasets/Lumos/imdb_test/resolve/main/dataset_info.json
2.42 kB
| { | |
| "builder_name": "imdb", | |
| "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", | |
| "config_name": "plain_text", | |
| "dataset_size": 133190346, | |
| "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.", | |
| "download_checksums": { | |
| "http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz": { | |
| "num_bytes": 84125825, | |
| "checksum": "c40f74a18d3b61f90feba1e17730e0d38e8b97c05fde7008942e91923d1658fe" | |
| } | |
| }, | |
| "download_size": 84125825, | |
| "features": { | |
| "text": { | |
| "dtype": "string", | |
| "id": null, | |
| "_type": "Value" | |
| }, | |
| "label": { | |
| "num_classes": 2, | |
| "names": [ | |
| "neg", | |
| "pos" | |
| ], | |
| "id": null, | |
| "_type": "ClassLabel" | |
| } | |
| }, | |
| "homepage": "http://ai.stanford.edu/~amaas/data/sentiment/", | |
| "license": "", | |
| "post_processed": null, | |
| "post_processing_size": null, | |
| "size_in_bytes": 217316171, | |
| "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" | |
| } | |
| }, | |
| "supervised_keys": null, | |
| "task_templates": [ | |
| { | |
| "task": "text-classification", | |
| "text_column": "text", | |
| "label_column": "label" | |
| } | |
| ], | |
| "version": { | |
| "version_str": "1.0.0", | |
| "description": "", | |
| "major": 1, | |
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| } | |
| } |