Datasets:

Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
albertvillanova HF staff commited on
Commit
a65c03c
1 Parent(s): 65fd1e1

Delete legacy JSON metadata (#3)

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- Delete legacy JSON metadata (d956e2ec07b314df24530d18ed44162c39e39c43)

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  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
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- {"default": {"description": "Numerous methods have been developed to monitor the spread of negativity in modern years by\neliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively\nlesser amounts of study that converges on embracing positivity, reinforcing supportive and reassuring content in online forums.\nConsequently, we propose creating an English Kannada Hope speech dataset, KanHope and comparing several experiments to benchmark the dataset.\nThe dataset consists of 6,176 user generated comments in code mixed Kannada scraped from YouTube and manually annotated as bearing hope\nspeech or Not-hope speech.\nThis dataset was prepared for hope-speech text classification benchmark on code-mixed Kannada, an under-resourced language.\n", "citation": "@misc{hande2021hope,\n title={Hope Speech detection in under-resourced Kannada language},\n author={Adeep Hande and Ruba Priyadharshini and Anbukkarasi Sampath and Kingston Pal Thamburaj and Prabakaran Chandran and Bharathi Raja Chakravarthi},\n year={2021},\n eprint={2108.04616},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/adeepH/kan_hope", "license": "Creative Commons Attribution 4.0 International Licence", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["Not-Hope", "Hope"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "kan_hope", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 494898, "num_examples": 4940, "dataset_name": "kan_hope"}, "test": {"name": "test", "num_bytes": 65722, "num_examples": 618, "dataset_name": "kan_hope"}}, "download_checksums": {"https://raw.githubusercontent.com/adeepH/kan_hope/main/dataset/KanHope_train.csv": {"num_bytes": 502381, "checksum": "1dbf257728dc2788a35c63396f9827e4f984904ae948d83bbacc49f68632b0f7"}, "https://raw.githubusercontent.com/adeepH/kan_hope/main/dataset/KanHope_test.csv": {"num_bytes": 66591, "checksum": "4d11cab46f93dfbf552712e8a7e6089f8482941e9f31b5259507d9b673ba6872"}}, "download_size": 568972, "post_processing_size": null, "dataset_size": 560620, "size_in_bytes": 1129592}}