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We randomly shuffle these\nquestions and use 70% of them (75910) as training set, 10% as\nvalidation set (10845), and the remaining 20% as test set.\n", "citation": "@misc{bordes2015largescale,\n title={Large-scale Simple Question Answering with Memory Networks},\n author={Antoine Bordes and Nicolas Usunier and Sumit Chopra and Jason Weston},\n year={2015},\n eprint={1506.02075},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "subject_entity": {"dtype": "string", "id": null, "_type": "Value"}, "relationship": {"dtype": "string", "id": null, "_type": "Value"}, "object_entity": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "simple_questions_v2", "config_name": "annotated", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12376039, "num_examples": 75910, "dataset_name": "simple_questions_v2"}, "validation": {"name": "validation", "num_bytes": 12376039, "num_examples": 75910, "dataset_name": "simple_questions_v2"}, "test": {"name": "test", "num_bytes": 12376039, "num_examples": 75910, "dataset_name": "simple_questions_v2"}}, "download_checksums": {"https://www.dropbox.com/s/tohrsllcfy7rch4/SimpleQuestions_v2.tgz?dl=1": {"num_bytes": 423435590, "checksum": "58f65630895de4f9712eeb33458ca20538972436fd48bf5913df4765e6788bf5"}}, "download_size": 423435590, "post_processing_size": null, "dataset_size": 37128117, "size_in_bytes": 460563707}, "freebase2m": {"description": "SimpleQuestions is a dataset for simple QA, which consists\nof a total of 108,442 questions written in natural language by human\nEnglish-speaking annotators each paired with a corresponding fact,\nformatted as (subject, relationship, object), that provides the answer\nbut also a complete explanation. Fast have been extracted from the\nKnowledge Base Freebase (freebase.com). We randomly shuffle these\nquestions and use 70% of them (75910) as training set, 10% as\nvalidation set (10845), and the remaining 20% as test set.\n", "citation": "@misc{bordes2015largescale,\n title={Large-scale Simple Question Answering with Memory Networks},\n author={Antoine Bordes and Nicolas Usunier and Sumit Chopra and Jason Weston},\n year={2015},\n eprint={1506.02075},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "subject_entity": {"dtype": "string", "id": null, "_type": "Value"}, "relationship": {"dtype": "string", "id": null, "_type": "Value"}, "object_entities": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "simple_questions_v2", "config_name": "freebase2m", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1964037256, "num_examples": 10843106, "dataset_name": "simple_questions_v2"}}, "download_checksums": {"https://www.dropbox.com/s/tohrsllcfy7rch4/SimpleQuestions_v2.tgz?dl=1": {"num_bytes": 423435590, "checksum": "58f65630895de4f9712eeb33458ca20538972436fd48bf5913df4765e6788bf5"}}, "download_size": 423435590, "post_processing_size": null, "dataset_size": 1964037256, "size_in_bytes": 2387472846}, "freebase5m": {"description": "SimpleQuestions is a dataset for simple QA, which consists\nof a total of 108,442 questions written in natural language by human\nEnglish-speaking annotators each paired with a corresponding fact,\nformatted as (subject, relationship, object), that provides the answer\nbut also a complete explanation. Fast have been extracted from the\nKnowledge Base Freebase (freebase.com). We randomly shuffle these\nquestions and use 70% of them (75910) as training set, 10% as\nvalidation set (10845), and the remaining 20% as test set.\n", "citation": "@misc{bordes2015largescale,\n title={Large-scale Simple Question Answering with Memory Networks},\n author={Antoine Bordes and Nicolas Usunier and Sumit Chopra and Jason Weston},\n year={2015},\n eprint={1506.02075},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "subject_entity": {"dtype": "string", "id": null, "_type": "Value"}, "relationship": {"dtype": "string", "id": null, "_type": "Value"}, "object_entities": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "simple_questions_v2", "config_name": "freebase5m", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2481753516, "num_examples": 12010500, "dataset_name": "simple_questions_v2"}}, "download_checksums": {"https://www.dropbox.com/s/tohrsllcfy7rch4/SimpleQuestions_v2.tgz?dl=1": {"num_bytes": 423435590, "checksum": "58f65630895de4f9712eeb33458ca20538972436fd48bf5913df4765e6788bf5"}}, "download_size": 423435590, "post_processing_size": null, "dataset_size": 2481753516, "size_in_bytes": 2905189106}} |