Datasets:

pchristm
/

conv_questions

- {"default": {"description": "ConvQuestions is the first realistic benchmark for conversational question answering over knowledge graphs.\nIt contains 11,200 conversations which can be evaluated over Wikidata. The questions feature a variety of complex\nquestion phenomena like comparisons, aggregations, compositionality, and temporal reasoning.", "citation": "@InProceedings{christmann2019look,\n title={Look before you hop: Conversational question answering over knowledge graphs using judicious context expansion},\n author={Christmann, Philipp and Saha Roy, Rishiraj and Abujabal, Abdalghani and Singh, Jyotsna and Weikum, Gerhard},\n booktitle={Proceedings of the 28th ACM International Conference on Information and Knowledge Management},\n pages={729--738},\n year={2019}\n}\n", "homepage": "https://convex.mpi-inf.mpg.de", "license": "CC BY 4.0", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "seed_entity": {"dtype": "string", "id": null, "_type": "Value"}, "seed_entity_text": {"dtype": "string", "id": null, "_type": "Value"}, "questions": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "answers": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "answer_texts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "conv_questions", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3589880, "num_examples": 6720, "dataset_name": "conv_questions"}, "validation": {"name": "validation", "num_bytes": 1241778, "num_examples": 2240, "dataset_name": "conv_questions"}, "test": {"name": "test", "num_bytes": 1175656, "num_examples": 2240, "dataset_name": "conv_questions"}}, "download_checksums": {"http://qa.mpi-inf.mpg.de/convex/ConvQuestions_train.zip": {"num_bytes": 2139687, "checksum": "093b7ea4106501035e5954213fda6111d0e4747011e8efa558765f2a9705d651"}, "http://qa.mpi-inf.mpg.de/convex/ConvQuestions_dev.zip": {"num_bytes": 594329, "checksum": "91faf376a5f702734c78033e2f357c507291cc3c85d9fda39e65c366f0abc7fd"}, "http://qa.mpi-inf.mpg.de/convex/ConvQuestions_test.zip": {"num_bytes": 542001, "checksum": "698e2a1761b9a0bff6490ccc735df8a1be9b85a7bbd8ed451a1b81ff5a1df28d"}}, "download_size": 3276017, "post_processing_size": null, "dataset_size": 6007314, "size_in_bytes": 9283331}}