Create dataset UIT-VSMEC

[albertvillanova]

• uid: UIT-VSMEC
• type: processed
• description:
  • name: Emotion Recognition for Vietnamese Social Media Text
  • description: Emotion recognition is a higher approach or special case of sentiment analysis. In this task, the result is not produced in terms of either polarity: positive or negative or in the form of rating (from 1 to 5) but of a more detailed level of sentiment analysis in which the result are depicted in more expressions like sadness, enjoyment, anger, disgust, fear and surprise. Emotion recognition plays a critical role in measuring brand value of a product by recognizing specific emotions of customers’ comments. In this study, we have achieved two targets. First and foremost, we built a standard Vietnamese Social Media Emotion Corpus (UIT-VSMEC) with about 6,927 human-annotated sentences with six emotion labels, contributing to emotion recognition research in Vietnamese which is a low-resource language in Natural Language Processing (NLP).
  • 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: Univeristy of Information Technology, VNH-HCM
  • in_catalogue:
  • type: A university or research institution
  • location: Vietnam
  • contact_name: Vong Anh Ho
  • contact_email: vund@uit.edu.vn
  • contact_submitter: False
  • additional:
  • validated: False

• availability:

  • procurement:
  • for_download: Yes - it has a direct download link or links
  • download_url: https://drive.google.com/open?id=1HooABJyrddVGzll7fgkJ6VzkG_XuWfRu
  • download_email:
  • licensing:
  • has_licenses: Unclear
  • license_text:
  • license_properties:
  • license_list:
  • pii:
  • has_pii: No
  • generic_pii_likely:
  • generic_pii_list:
  • numeric_pii_likely:
  • numeric_pii_list:
  • sensitive_pii_likely:
  • sensitive_pii_list:
  • no_pii_justification_class: other

  • no_pii_justification_text: The research paper stated explicitly that the PII was edited out.

    https://arxiv.org/pdf/1911.09339.pdf

  • validated: False
• processed_from_primary:
  • from_primary: Taken from primary source
  • primary_availability: Yes - they are fully available
  • primary_license: Unclear / I don't know
  • primary_types:
  • web | social media
  • validated: False
  • from_primary_entries:
• 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-VSMEC.json

[albertvillanova]

DONE: https://huggingface.co/datasets/bigscience-catalogue-data/uit_vsmec

Sample:

{'sentence': 'cho mình xin bài nhạc tên là gì với ạ', 'emotion': 4}

[lhoestq]

self-assign

[lhoestq]

Done: https://huggingface.co/datasets/bigscience-catalogue-lm-data/lm_vi_uit_vsmec

sample:

{'text': 'cho mình xin bài nhạc tên là gì với ạ'}

[albertvillanova]

Thanks @lhoestq.