Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found vietnamese_students_feedback.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1029, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found vietnamese_students_feedback.py

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Dataset Card for Vietnamese Students’ Feedback Corpus

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 for adding this dataset.

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UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis

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