Update README.md

README.md

@@ -1,26 +1,179 @@
 ---
 annotations_creators:
-- found
+- no-annotation
 language_creators:
 - found
 languages:
-- en
 - vi
 licenses:
-- mit
+- unknown
 multilinguality:
-- translation
-pretty_name: Machine Translation Paired English-Vietnamese Sentences
+- monolingual
+pretty_name: "Vietnamese Students\u2019 Feedback Corpus"
 size_categories:
-- unknown
+- 10K<n<100K
 source_datasets:
-- extended|open_subtitles
-- extended|tatoeba
-- extended|opus_tedtalks
-- extended|qed_amara
-- extended|opus_wikipedia
+- original
 task_categories:
-- conditional-text-generation
+- text-classification
 task_ids:
-- machine-translation
----
+- sentiment-classification
+- topic-classification
+---
+
+# Dataset Card for Vietnamese Students’ Feedback Corpus
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://sites.google.com/uit.edu.vn/uit-nlp/datasets-projects#h.p_4Brw8L-cbfTe
+- **Repository:**
+- **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)
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+Students’ feedback is a vital resource for the interdisciplinary research involving the combining of two different
+research fields between sentiment analysis and education.
+
+Vietnamese Students’ Feedback Corpus (UIT-VSFC) is the resource consists of over 16,000 sentences which are
+human-annotated with two different tasks: sentiment-based and topic-based classifications.
+
+To assess the quality of our corpus, we measure the annotator agreements and classification evaluation on the
+UIT-VSFC corpus. As a result, we obtained the inter-annotator agreement of sentiments and topics with more than over
+91% and 71% respectively. In addition, we built the baseline model with the Maximum Entropy classifier and achieved
+approximately 88% of the sentiment F1-score and over 84% of the topic F1-score.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The language of the dataset text sentence is Vietnamese (`vi`).
+
+## Dataset Structure
+
+### Data Instances
+
+An instance example:
+```
+{
+  'sentence': 'slide giáo trình đầy đủ .', 
+  'sentiment': 2, 
+  'topic': 1
+}
+```
+
+### Data Fields
+
+- `sentence` (str): Text sentence.
+- `sentiment`: Sentiment class, with values 0 (negative), 1 (neutral) and 2 (positive).
+- `topic`: Topic class, with values 0 (lecturer), 1 (training_program), 2 (facility) and 3 (others).
+
+### Data Splits
+
+The dataset is split in train, validation and test.
+
+|                    |  Tain | Validation | Test |
+|--------------------|------:|-----------:|-----:|
+| Number of examples | 11426 |       1583 | 3166 |
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+Unknown.
+
+### Citation Information
+
+```
+@InProceedings{8573337,
+  author={Nguyen, Kiet Van and Nguyen, Vu Duc and Nguyen, Phu X. V. and Truong, Tham T. H. and Nguyen, Ngan Luu-Thuy},
+  booktitle={2018 10th International Conference on Knowledge and Systems Engineering (KSE)},
+  title={UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis},
+  year={2018},
+  volume={},
+  number={},
+  pages={19-24},
+  doi={10.1109/KSE.2018.8573337}
+}
+```
+
+### Contributions
+
+Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.