Upload dataset_info.json

dataset_info.json

@@ -0,0 +1,70 @@
+{
+  "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,
+    "minor": 0,
+    "patch": 0
+  }
+}