Datasets:

afaji
/

indonli

- {"indonli": {"description": " IndoNLI is the first human-elicited Natural Language Inference (NLI) dataset for Indonesian.\n IndoNLI is annotated by both crowd workers and experts. The expert-annotated data is used exclusively as a test set.\n It is designed to provide a challenging test-bed for Indonesian NLI by explicitly incorporating various linguistic phenomena such as numerical reasoning, structural changes, idioms, or temporal and spatial reasoning.\n", "citation": " @inproceedings{mahendra-etal-2021-indonli,\n title = \"{I}ndo{NLI}: A Natural Language Inference Dataset for {I}ndonesian\",\n author = \"Mahendra, Rahmad and Aji, Alham Fikri and Louvan, Samuel and Rahman, Fahrurrozi and Vania, Clara\",\n booktitle = \"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\n month = nov,\n year = \"2021\",\n address = \"Online and Punta Cana, Dominican Republic\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.emnlp-main.821\",\n pages = \"10511--10527\",\n }\n", "homepage": "https://github.com/ir-nlp-csui/indonli", "license": "\n CC BY-SA 4.0\n\n Attribution \u2014 You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.\n\n ShareAlike \u2014 If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.\n\n No additional restrictions \u2014 You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.\n\n", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "indo_nli", "config_name": "indonli", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2265687, "num_examples": 10330, "dataset_name": "indo_nli"}, "validation": {"name": "validation", "num_bytes": 465299, "num_examples": 2197, "dataset_name": "indo_nli"}, "test_lay": {"name": "test_lay", "num_bytes": 473849, "num_examples": 2201, "dataset_name": "indo_nli"}, "test_expert": {"name": "test_expert", "num_bytes": 911916, "num_examples": 2984, "dataset_name": "indo_nli"}}, "download_checksums": {"https://raw.githubusercontent.com/ir-nlp-csui/indonli/main/data/indonli/train.jsonl": {"num_bytes": 3788819, "checksum": "c18a2974a8683d283d0c8eb3d944354d3c5ce54ab6232613d932c0bd2a82abf8"}, "https://raw.githubusercontent.com/ir-nlp-csui/indonli/main/data/indonli/val.jsonl": {"num_bytes": 784776, "checksum": "56a553253453bb710fde569b72b0c78a2bc52898ed6eb92b7b6d695f42ed18f1"}, "https://raw.githubusercontent.com/ir-nlp-csui/indonli/main/data/indonli/test_lay.jsonl": {"num_bytes": 796010, "checksum": "e907d015dd05b3ecb56620f680eaaf0e416f5c88b3416ad541892d872292f4d1"}, "https://raw.githubusercontent.com/ir-nlp-csui/indonli/main/data/indonli/test_expert.jsonl": {"num_bytes": 1608272, "checksum": "70a798b476c0753c36b7f8cb0b15b69797f5679cc50988089699c47f718e01b1"}}, "download_size": 6977877, "post_processing_size": null, "dataset_size": 4116751, "size_in_bytes": 11094628}}