Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Italian
Size:
10K - 100K
License:
Commit
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a9bb75b
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Parent(s):
dbbfce7
Delete legacy JSON metadata (#3)
Browse files- Delete legacy JSON metadata (ec810004a828454ab493412ea92c87612a8de6bf)
- dataset_infos.json +0 -1
dataset_infos.json
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{"default": {"description": "SQuAD-it is derived from the SQuAD dataset and it is obtained through semi-automatic translation of the SQuAD dataset\ninto Italian. It represents a large-scale dataset for open question answering processes on factoid questions in Italian.\n The dataset contains more than 60,000 question/answer pairs derived from the original English dataset. The dataset is\n split into training and test sets to support the replicability of the benchmarking of QA systems:\n", "citation": "@InProceedings{10.1007/978-3-030-03840-3_29,\n author={Croce, Danilo and Zelenanska, Alexandra and Basili, Roberto},\n editor={Ghidini, Chiara and Magnini, Bernardo and Passerini, Andrea and Traverso, Paolo\",\n title={Neural Learning for Question Answering in Italian},\n booktitle={AI*IA 2018 -- Advances in Artificial Intelligence},\n year={2018},\n publisher={Springer International Publishing},\n address={Cham},\n pages={389--402},\n isbn={978-3-030-03840-3}\n}\n", "homepage": "https://github.com/crux82/squad-it", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "squad_it", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 50864824, "num_examples": 54159, "dataset_name": "squad_it"}, "test": {"name": "test", "num_bytes": 7858336, "num_examples": 7609, "dataset_name": "squad_it"}}, "download_checksums": {"https://github.com/crux82/squad-it/raw/master/SQuAD_it-train.json.gz": {"num_bytes": 7725286, "checksum": "75d4d2832961f7a0f76a43d7e919e56a880ccc55de434ec90ae82cd67bec5d25"}, "https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz": {"num_bytes": 1051245, "checksum": "25986c617cc7d58e82e916755b8a5684e5efae69835332858a6534a304cd293c"}}, "download_size": 8776531, "post_processing_size": null, "dataset_size": 58723160, "size_in_bytes": 67499691}}
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