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README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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languages:
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- vi
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licenses:
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- unknown
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multilinguality:
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- monolingual
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pretty_name: "Vietnamese Students\u2019 Feedback Corpus"
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- sentiment-classification
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- topic-classification
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---
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# Dataset Card for Vietnamese Students’ Feedback Corpus
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** https://sites.google.com/uit.edu.vn/uit-nlp/datasets-projects#h.p_4Brw8L-cbfTe
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- **Repository:**
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- **Paper:** [UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis](https://www.researchgate.net/publication/329645066_UIT-VSFC_Vietnamese_Students'_Feedback_Corpus_for_Sentiment_Analysis)
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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Students’ feedback is a vital resource for the interdisciplinary research involving the combining of two different
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research fields between sentiment analysis and education.
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Vietnamese Students’ Feedback Corpus (UIT-VSFC) is the resource consists of over 16,000 sentences which are
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human-annotated with two different tasks: sentiment-based and topic-based classifications.
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To assess the quality of our corpus, we measure the annotator agreements and classification evaluation on the
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UIT-VSFC corpus. As a result, we obtained the inter-annotator agreement of sentiments and topics with more than over
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91% and 71% respectively. In addition, we built the baseline model with the Maximum Entropy classifier and achieved
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approximately 88% of the sentiment F1-score and over 84% of the topic F1-score.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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The language of the dataset text sentence is Vietnamese (`vi`).
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## Dataset Structure
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### Data Instances
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An instance example:
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```
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{
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'sentence': 'slide giáo trình đầy đủ .',
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'sentiment': 2,
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'topic': 1
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}
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```
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### Data Fields
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- `sentence` (str): Text sentence.
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- `sentiment`: Sentiment class, with values 0 (negative), 1 (neutral) and 2 (positive).
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- `topic`: Topic class, with values 0 (lecturer), 1 (training_program), 2 (facility) and 3 (others).
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### Data Splits
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The dataset is split in train, validation and test.
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| | Tain | Validation | Test |
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|--------------------|------:|-----------:|-----:|
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| Number of examples | 11426 | 1583 | 3166 |
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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Unknown.
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### Citation Information
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```
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@InProceedings{8573337,
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author={Nguyen, Kiet Van and Nguyen, Vu Duc and Nguyen, Phu X. V. and Truong, Tham T. H. and Nguyen, Ngan Luu-Thuy},
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booktitle={2018 10th International Conference on Knowledge and Systems Engineering (KSE)},
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title={UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis},
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year={2018},
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volume={},
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number={},
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pages={19-24},
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doi={10.1109/KSE.2018.8573337}
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}
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```
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### Contributions
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Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
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