political-advertising-pl / dataset_infos.json
laugustyniak's picture
add corrected info
8330a72
raw
history blame
3.62 kB
{
"political-advertising-pl": {
"description": "Polish Political Advertising Dataset",
"citation": "@inproceedings{augustyniak-etal-2020-political,\n title = \"Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections\",\n author = \"Augustyniak, Lukasz and\n Rajda, Krzysztof and\n Kajdanowicz, Tomasz and\n Bernaczyk, Micha{\\l}\",\n booktitle = \"Proceedings of the The Fourth Widening Natural Language Processing Workshop\",\n month = jul,\n year = \"2020\",\n address = \"Seattle, USA\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.winlp-1.28\",\n pages = \"110--114\"\n}\n",
"homepage": "https://github.com/laugustyniak/misinformation",
"license": "",
"features": {
"id": { "dtype": "string", "id": null, "_type": "Value" },
"tokens": {
"feature": { "dtype": "string", "id": null, "_type": "Value" },
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"num_classes": 19,
"names": [
"O",
"B-DEFENSE_AND_SECURITY",
"I-DEFENSE_AND_SECURITY",
"B-EDUCATION",
"I-EDUCATION",
"B-FOREIGN_POLICY",
"I-FOREIGN_POLICY",
"B-HEALHCARE",
"I-HEALHCARE",
"B-IMMIGRATION",
"I-IMMIGRATION",
"B-INFRASTRUCTURE_AND_ENVIROMENT",
"I-INFRASTRUCTURE_AND_ENVIROMENT",
"B-POLITICAL_AND_LEGAL_SYSTEM",
"I-POLITICAL_AND_LEGAL_SYSTEM",
"B-SOCIETY",
"I-SOCIETY",
"B-WELFARE",
"I-WELFARE"
],
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"post_processed": null,
"supervised_keys": null,
"task_templates": null,
"builder_name": "political_advertising_dataset",
"config_name": "political-advertising-pl",
"version": {
"version_str": "1.0.0",
"description": null,
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 606982,
"num_examples": 1020,
"dataset_name": "political_advertising_dataset"
},
"test": {
"name": "test",
"num_bytes": 194615,
"num_examples": 341,
"dataset_name": "political_advertising_dataset"
},
"validation": {
"name": "validation",
"num_bytes": 200144,
"num_examples": 340,
"dataset_name": "political_advertising_dataset"
}
},
"download_checksums": {
"https://huggingface.co/datasets/laugustyniak/political-advertising-pl/resolve/main/train.parquet": {
"num_bytes": 180137,
"checksum": "ae6d5d8b226e52c8d47540bc1180be5b3c69a603b7aec4211adc0f0486f4afab"
},
"https://huggingface.co/datasets/laugustyniak/political-advertising-pl/resolve/main/test.parquet": {
"num_bytes": 67275,
"checksum": "e09aeb0170a55b6005cc83dfbe269df048770208b2dc5e2ea6c018d67d4d6b08"
},
"https://huggingface.co/datasets/laugustyniak/political-advertising-pl/resolve/main/dev.parquet": {
"num_bytes": 66658,
"checksum": "de664603570769f3f3940309f1bad02a2b6c5612631860e7cc0d307ca41f2edb"
}
},
"download_size": 314070,
"post_processing_size": null,
"dataset_size": 1001741,
"size_in_bytes": 1315811
}
}