{"WOS5736": {"description": "Copyright (c) 2017 Kamran Kowsari\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the \"Dataset\"), to deal\nin the dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Dataset, and to permit persons to whom the dataset is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Dataset.\n\nIf you use this dataset please cite: Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification\n\nDescription of Dataset:\n\nHere is three datasets which include WOS-11967 , WOS-46985, and WOS-5736\nEach folder contains:\n-X.txt\n-Y.txt\n-YL1.txt\n-YL2.txt\n\nX is input data that include text sequences\nY is target value\nYL1 is target value of level one (parent label)\nYL2 is target value of level one (child label)\nWeb of Science Dataset WOS-5736\n                        -This dataset contains 5,736 documents with 11 categories which include 3 parents categories.", "citation": "@inproceedings{kowsari2017HDLTex,\ntitle={HDLTex: Hierarchical Deep Learning for Text Classification},\nauthor={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E},\nbooktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on},\nyear={2017},\norganization={IEEE}\n}\n", "homepage": "https://data.mendeley.com/datasets/9rw3vkcfy4/6", "license": "", "features": {"input_data": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "int32", "id": null, "_type": "Value"}, "label_level_1": {"dtype": "int32", "id": null, "_type": "Value"}, "label_level_2": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "web_of_science", "config_name": "WOS5736", "version": {"version_str": "6.0.0", "description": "", "datasets_version_to_prepare": null, "major": 6, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8055118, "num_examples": 5736, "dataset_name": "web_of_science"}}, "download_checksums": {"https://data.mendeley.com/datasets/9rw3vkcfy4/6/files/c9ea673d-5542-44c0-ab7b-f1311f7d61df/WebOfScience.zip?dl=1": {"num_bytes": 60222421, "checksum": "b787d484bff88b0dcdb3fa291d06ec9d2f025dc2a67ce1045d0c688cd96ccf8a"}}, "download_size": 60222421, "dataset_size": 8055118, "size_in_bytes": 68277539}, "WOS11967": {"description": "Copyright (c) 2017 Kamran Kowsari\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the \"Dataset\"), to deal\nin the dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Dataset, and to permit persons to whom the dataset is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Dataset.\n\nIf you use this dataset please cite: Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification\n\nDescription of Dataset:\n\nHere is three datasets which include WOS-11967 , WOS-46985, and WOS-5736\nEach folder contains:\n-X.txt\n-Y.txt\n-YL1.txt\n-YL2.txt\n\nX is input data that include text sequences\nY is target value\nYL1 is target value of level one (parent label)\nYL2 is target value of level one (child label)\nWeb of Science Dataset WOS-11967\n                        -This dataset contains 11,967 documents with 35 categories which include 7 parents categories.", "citation": "@inproceedings{kowsari2017HDLTex,\ntitle={HDLTex: Hierarchical Deep Learning for Text Classification},\nauthor={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E},\nbooktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on},\nyear={2017},\norganization={IEEE}\n}\n", "homepage": "https://data.mendeley.com/datasets/9rw3vkcfy4/6", "license": "", "features": {"input_data": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "int32", "id": null, "_type": "Value"}, "label_level_1": {"dtype": "int32", "id": null, "_type": "Value"}, "label_level_2": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "web_of_science", "config_name": "WOS11967", "version": {"version_str": "6.0.0", "description": "", "datasets_version_to_prepare": null, "major": 6, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 16255871, "num_examples": 11967, "dataset_name": "web_of_science"}}, "download_checksums": {"https://data.mendeley.com/datasets/9rw3vkcfy4/6/files/c9ea673d-5542-44c0-ab7b-f1311f7d61df/WebOfScience.zip?dl=1": {"num_bytes": 60222421, "checksum": "b787d484bff88b0dcdb3fa291d06ec9d2f025dc2a67ce1045d0c688cd96ccf8a"}}, "download_size": 60222421, "dataset_size": 16255871, "size_in_bytes": 76478292}, "WOS46985": {"description": "Copyright (c) 2017 Kamran Kowsari\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the \"Dataset\"), to deal\nin the dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Dataset, and to permit persons to whom the dataset is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Dataset.\n\nIf you use this dataset please cite: Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification\n\nDescription of Dataset:\n\nHere is three datasets which include WOS-11967 , WOS-46985, and WOS-5736\nEach folder contains:\n-X.txt\n-Y.txt\n-YL1.txt\n-YL2.txt\n\nX is input data that include text sequences\nY is target value\nYL1 is target value of level one (parent label)\nYL2 is target value of level one (child label)\n\n                        Web of Science Dataset WOS-46985\n                        -This dataset contains 46,985 documents with 134 categories which include 7 parents categories.", "citation": "@inproceedings{kowsari2017HDLTex,\ntitle={HDLTex: Hierarchical Deep Learning for Text Classification},\nauthor={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E},\nbooktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on},\nyear={2017},\norganization={IEEE}\n}\n", "homepage": "https://data.mendeley.com/datasets/9rw3vkcfy4/6", "license": "", "features": {"input_data": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "int32", "id": null, "_type": "Value"}, "label_level_1": {"dtype": "int32", "id": null, "_type": "Value"}, "label_level_2": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "web_of_science", "config_name": "WOS46985", "version": {"version_str": "6.0.0", "description": "", "datasets_version_to_prepare": null, "major": 6, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65501096, "num_examples": 46985, "dataset_name": "web_of_science"}}, "download_checksums": {"https://data.mendeley.com/datasets/9rw3vkcfy4/6/files/c9ea673d-5542-44c0-ab7b-f1311f7d61df/WebOfScience.zip?dl=1": {"num_bytes": 60222421, "checksum": "b787d484bff88b0dcdb3fa291d06ec9d2f025dc2a67ce1045d0c688cd96ccf8a"}}, "download_size": 60222421, "dataset_size": 65501096, "size_in_bytes": 125723517}}