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Datasets:
vadis
/
sv-ident

Tasks:
Text Classification
Sub-tasks: multi-label-classification semantic-similarity-classification
Languages: English German
Multilinguality: multilingual
Size Categories: 1K<n<10K
Language Creators: expert-generated
Annotations Creators: expert-generated
Source Datasets: original
Tags:
License:
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e-tony commited on
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Update dataset_infos.json

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  1. dataset_infos.json +1 -1
dataset_infos.json CHANGED
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- {"default": {"description": "The SV-Ident corpus (version 0.3) is a collection of 4,248 expert-annotated English and German sentences from social science publications, supporting the task of multi-label text classification.", "citation": "", "homepage": "https://github.com/vadis-project/sv-ident", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "is_variable": {"dtype": "string", "id": null, "_type": "Value"}, "variable": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "research_data": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_id": {"dtype": "string", "id": null, "_type": "Value"}, "uuid": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "sentence", "output": "is_variable"}, "task_templates": null, "builder_name": "sv-ident", "config_name": "default", "version": {"version_str": "0.3.0", "description": null, "major": 0, "minor": 3, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1243953, "num_examples": 4248, "dataset_name": "sv-ident"}}, "download_checksums": {"https://raw.githubusercontent.com/vadis-project/sv-ident/9962c3274444ce84c59d42e2a6f8c0958ed15a26/data/train/data.tsv": {"num_bytes": 1126561, "checksum": "1caf95d1f8416d9545888982f39bc8987d9a696fd84e99aa1e08d6b53b842aed"}}, "download_size": 1126561, "post_processing_size": null, "dataset_size": 1243953, "size_in_bytes": 2370514}}
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+ {"default": {"description": "The SV-Ident corpus (version 0.3) is a collection of 4,248 expert-annotated English\nand German sentences from social science publications, supporting the task of\nmulti-label text classification.\n", "citation": "@misc{sv-ident,\n author={vadis-project},\n title={SV-Ident},\n year={2022},\n url={https://github.com/vadis-project/sv-ident},\n }\n", "homepage": "https://github.com/vadis-project/sv-ident", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "is_variable": {"num_classes": 2, "names": ["0", "1"], "id": null, "_type": "ClassLabel"}, "variable": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "research_data": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "doc_id": {"dtype": "string", "id": null, "_type": "Value"}, "uuid": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "sentence", "output": "is_variable"}, "task_templates": null, "builder_name": "sv-ident", "config_name": "default", "version": {"version_str": "0.3.0", "description": null, "major": 0, "minor": 3, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1133615, "num_examples": 3823, "dataset_name": "sv-ident"}, "validation": {"name": "validation", "num_bytes": 123082, "num_examples": 425, "dataset_name": "sv-ident"}}, "download_checksums": {"https://raw.githubusercontent.com/vadis-project/sv-ident/a8e71bba570f628c460e2b542d4cc645e4eb7d03/data/train/train.tsv": {"num_bytes": 1016436, "checksum": "58668c2bbb6a9cd5b9a83ea8eb4dbee8ef57577dbd32d2fe93200c51d60e7891"}, "https://raw.githubusercontent.com/vadis-project/sv-ident/a8e71bba570f628c460e2b542d4cc645e4eb7d03/data/train/val.tsv": {"num_bytes": 110186, "checksum": "a5ec6da5d5fa6a56bda626aad0fe4b2546faed2cb6000cae43a0a787c1e041f0"}}, "download_size": 1126622, "post_processing_size": null, "dataset_size": 1256697, "size_in_bytes": 2383319}}