bigscience-workshop / bigscience-workshop/data_tooling

Create dataset UIT-ViHSD

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data catalog need custodian permission
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Description

- uid: UIT-ViHSD
- type: processed
- description:
- name: Vietnamese Hate Speech Detection Dataset
- description: In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social media, hate speech has become a critical problem for social network users. To solve this problem, we introduce the ViHSD – a human-annotated dataset for automatically detecting hate speech on the social network. This dataset contains over 30,000 comments, each comment in the dataset has one of three labels: CLEAN, OFFENSIVE, or HATE. Besides, we introduce the data creation process for annotating and evaluating the quality of the dataset. Finally, we evaluated the dataset by deep learning models and transformer models.
- homepage: https://sites.google.com/uit.edu.vn/uit-nlp/datasets-projects#h.fs21gpd5w6p1
- validated: True
- languages:
- language_names:
- Vietnamese
- language_comments:
- language_locations:
- South-eastern Asia
- Vietnam
- validated: False
- custodian:
- name: Mr. Son Luu
- in_catalogue:
- type: A university or research institution
- location: Vietnam
- contact_name: Mr. Son Luu
- contact_email: sonlt@uit.edu.vn
- contact_submitter: False
- additional:
- validated: False
- availability:
- procurement:
- for_download: No - but the current owners/custodians have contact information for data queries
- download_url:
- download_email: sonlt@uit.edu.vn
- licensing:
- has_licenses: Unclear
- license_text:
- license_properties:
- license_list:
- pii:
- has_pii: Unclear
- generic_pii_likely:
- generic_pii_list:
- numeric_pii_likely:
- numeric_pii_list:
- sensitive_pii_likely:
- sensitive_pii_list:
- no_pii_justification_class: general knowledge not written by or referring to private persons
- no_pii_justification_text:
- validated: False
- processed_from_primary:
- from_primary: Taken from primary source
- primary_availability: No - the dataset curators kept the source data secret
- primary_license:
- primary_types:
- validated: False
- media:
- category:
- text
- text_format:
- audiovisual_format:
- image_format:
- database_format:
- text_is_transcribed: No
- instance_type:
- instance_count:
- instance_size:
- validated: False
- fname: UIT-ViHSD.json

Contributor guide

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Research direction

Start with the requested UIT-ViHSD.json entry and verify that its metadata matches the supplied dataset details, including the Vietnamese language, text category, custodian contact, availability, and validation fields. Done means the dataset record is added with the specified filename and all provided values preserved.

Written by the indexing model from the issue text.

Assessment

Domain
data
Issue type
Feature
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
50/100

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