Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Upload dataset_infos.json
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dataset_infos.json
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{"HumAID": {"description": "The HumAID Twitter dataset consists of several thousands of manually annotated tweets that has been collected during 19 major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened from 2016 to 2019 across different parts of the World. The annotations in the provided datasets consists of following humanitarian categories. The dataset consists only english tweets and it is the largest dataset for crisis informatics so far.\n** Humanitarian categories **\n- Caution and advice\n- Displaced people and evacuations\n- Dont know cant judge\n- Infrastructure and utility damage\n- Injured or dead people\n- Missing or found people\n- Not humanitarian\n- Other relevant information\n- Requests or urgent needs\n- Rescue volunteering or donation effort\n- Sympathy and support\n", "citation": "@inproceedings{humaid2020,\nAuthor = {Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli},\nbooktitle={Proceedings of the Fifteenth International AAAI Conference on Web and Social Media},\nseries={ICWSM~'21},\nKeywords = {Social Media, Crisis Computing, Tweet Text Classification, Disaster Response},\nTitle = {HumAID: Human-Annotated Disaster Incidents Data from Twitter},\nYear = {2021},\npublisher={AAAI},\naddress={Online},\n}\n", "homepage": "https://crisisnlp.qcri.org/humaid_dataset", "license": "https://crisisnlp.qcri.org/terms-of-use.html", "features": {"tweet_text": {"dtype": "string", "id": null, "_type": "Value"}, "class_label": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "hum_aid", "config_name": "HumAID", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9547288, "num_examples": 53531, "dataset_name": "
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{"Firoj--HumAID": {"description": "The HumAID Twitter dataset consists of several thousands of manually annotated tweets that has been collected during 19 major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened from 2016 to 2019 across different parts of the World. The annotations in the provided datasets consists of following humanitarian categories. The dataset consists only english tweets and it is the largest dataset for crisis informatics so far.\n** Humanitarian categories **\n- Caution and advice\n- Displaced people and evacuations\n- Dont know cant judge\n- Infrastructure and utility damage\n- Injured or dead people\n- Missing or found people\n- Not humanitarian\n- Other relevant information\n- Requests or urgent needs\n- Rescue volunteering or donation effort\n- Sympathy and support\n", "citation": "@inproceedings{humaid2020,\nAuthor = {Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli},\nbooktitle={Proceedings of the Fifteenth International AAAI Conference on Web and Social Media},\nseries={ICWSM~'21},\nKeywords = {Social Media, Crisis Computing, Tweet Text Classification, Disaster Response},\nTitle = {HumAID: Human-Annotated Disaster Incidents Data from Twitter},\nYear = {2021},\npublisher={AAAI},\naddress={Online},\n}\n", "homepage": "https://crisisnlp.qcri.org/humaid_dataset", "license": "https://crisisnlp.qcri.org/terms-of-use.html", "features": {"tweet_text": {"dtype": "string", "id": null, "_type": "Value"}, "class_label": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "hum_aid", "config_name": "HumAID", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9547288, "num_examples": 53531, "dataset_name": "HumAID"}, "test": {"name": "test", "num_bytes": 2706119, "num_examples": 15160, "dataset_name": "HumAID"}, "validation": {"name": "validation", "num_bytes": 1385929, "num_examples": 7793, "dataset_name": "HumAID"}}, "download_checksums": null, "download_size": 7223756, "post_processing_size": null, "dataset_size": 13639336, "size_in_bytes": 20863092}}
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