Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
Tagalog
Size:
1K<n<10K
License:
Commit
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363b2d5
1
Parent(s):
d81e2d1
Delete legacy JSON metadata (#4)
Browse files- Delete legacy JSON metadata (fcaab04e1d6c087114fc823e7225afe972ffee19)
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dataset_infos.json
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{"default": {"description": " Benchmark dataset for low-resource multiclass classification, with 4,015 training, 500 testing, and 500 validation examples, each labeled as part of five classes. Each sample can be a part of multiple classes. Collected as tweets.\n", "citation": " @INPROCEEDINGS{8459963,\n author={E. D. {Livelo} and C. {Cheng}},\n booktitle={2018 IEEE International Conference on Agents (ICA)},\n title={Intelligent Dengue Infoveillance Using Gated Recurrent Neural Learning and Cross-Label Frequencies},\n year={2018},\n volume={},\n number={},\n pages={2-7},\n doi={10.1109/AGENTS.2018.8459963}}\n }\n", "homepage": "https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "absent": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}, "dengue": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}, "health": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}, "mosquito": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sick": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "dengue_filipino", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 428553, "num_examples": 4015, "dataset_name": "dengue_filipino"}, "test": {"name": "test", "num_bytes": 428553, "num_examples": 4015, "dataset_name": "dengue_filipino"}, "validation": {"name": "validation", "num_bytes": 54384, "num_examples": 500, "dataset_name": "dengue_filipino"}}, "download_checksums": {"https://s3.us-east-2.amazonaws.com/blaisecruz.com/datasets/dengue/dengue_raw.zip": {"num_bytes": 156014, "checksum": "928f7072dec6830c2f18aabc490aec886253e76cf764e06395e7ca66c4a17c4c"}}, "download_size": 156014, "post_processing_size": null, "dataset_size": 911490, "size_in_bytes": 1067504}}
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