Datasets:

aisingapore
/

nlu-sentiment_analysis

@@ -1,84 +1,288 @@
----
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: label
-    dtype: string
-  - name: prompts
-    list:
-    - name: text
-      dtype: string
-  - name: prompt_templates
-    sequence: string
-  - name: metadata
-    struct:
-    - name: language
-      dtype: string
-  splits:
-  - name: id
-    num_bytes: 188736
-    num_examples: 400
-  - name: id_fewshot
-    num_bytes: 702
-    num_examples: 5
-  - name: jv
-    num_bytes: 168113
-    num_examples: 394
-  - name: jv_fewshot
-    num_bytes: 913
-    num_examples: 5
-  - name: su
-    num_bytes: 178579
-    num_examples: 394
-  - name: su_fewshot
-    num_bytes: 911
-    num_examples: 5
-  - name: ta
-    num_bytes: 1225066
-    num_examples: 1000
-  - name: ta_fewshot
-    num_bytes: 1859
-    num_examples: 5
-  - name: th
-    num_bytes: 898057
-    num_examples: 1000
-  - name: th_fewshot
-    num_bytes: 523
-    num_examples: 5
-  - name: vi
-    num_bytes: 434373
-    num_examples: 1000
-  - name: vi_fewshot
-    num_bytes: 655
-    num_examples: 5
-  download_size: 506409
-  dataset_size: 3098487
-configs:
-- config_name: default
-  data_files:
-  - split: id
-    path: data/id-*
-  - split: id_fewshot
-    path: data/id_fewshot-*
-  - split: jv
-    path: data/jv-*
-  - split: jv_fewshot
-    path: data/jv_fewshot-*
-  - split: su
-    path: data/su-*
-  - split: su_fewshot
-    path: data/su_fewshot-*
-  - split: ta
-    path: data/ta-*
-  - split: ta_fewshot
-    path: data/ta_fewshot-*
-  - split: th
-    path: data/th-*
-  - split: th_fewshot
-    path: data/th_fewshot-*
-  - split: vi
-    path: data/vi-*
-  - split: vi_fewshot
-    path: data/vi_fewshot-*
----

+---
+pretty_name: SEA Sentiment Analysis
+license:
+- cc-by-sa-4.0
+- cc-by-4.0
+- cc0-1.0
+task_categories:
+- text-generation
+- text-classification
+language:
+- id
+- jv
+- su
+- ta
+- th
+- vi
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: label
+    dtype: string
+  - name: prompts
+    list:
+    - name: text
+      dtype: string
+  - name: prompt_templates
+    sequence: string
+  - name: metadata
+    struct:
+    - name: language
+      dtype: string
+  splits:
+  - name: id
+    num_bytes: 188736
+    num_examples: 400
+    num_tokens_gpt_4o: 15131
+    num_tokens_gemma_2: 13918
+    num_tokens_llama_3: 19274
+  - name: id_fewshot
+    num_bytes: 702
+    num_examples: 5
+    num_tokens_gpt_4o: 145
+    num_tokens_gemma_2: 137
+    num_tokens_llama_3: 175
+  - name: jv
+    num_bytes: 168113
+    num_examples: 394
+    num_tokens_gpt_4o: 16731
+    num_tokens_gemma_2: 17453
+    num_tokens_llama_3: 20638
+  - name: jv_fewshot
+    num_bytes: 913
+    num_examples: 5
+    num_tokens_gpt_4o: 201
+    num_tokens_gemma_2: 219
+    num_tokens_llama_3: 255
+  - name: su
+    num_bytes: 178579
+    num_examples: 394
+    num_tokens_gpt_4o: 17123
+    num_tokens_gemma_2: 18632
+    num_tokens_llama_3: 22056
+  - name: su_fewshot
+    num_bytes: 911
+    num_examples: 5
+    num_tokens_gpt_4o: 201
+    num_tokens_gemma_2: 217
+    num_tokens_llama_3: 253
+  - name: ta
+    num_bytes: 1225066
+    num_examples: 1000
+    num_tokens_gpt_4o: 54038
+    num_tokens_gemma_2: 71449
+    num_tokens_llama_3: 211075
+  - name: ta_fewshot
+    num_bytes: 1859
+    num_examples: 5
+    num_tokens_gpt_4o: 192
+    num_tokens_gemma_2: 264
+    num_tokens_llama_3: 792
+  - name: th
+    num_bytes: 898057
+    num_examples: 1000
+    num_tokens_gpt_4o: 38252
+    num_tokens_gemma_2: 38111
+    num_tokens_llama_3: 44447
+  - name: th_fewshot
+    num_bytes: 523
+    num_examples: 5
+    num_tokens_gpt_4o: 50
+    num_tokens_gemma_2: 54
+    num_tokens_llama_3: 63
+  - name: vi
+    num_bytes: 434373
+    num_examples: 1000
+    num_tokens_gpt_4o: 16732
+    num_tokens_gemma_2: 16307
+    num_tokens_llama_3: 16755
+  - name: vi_fewshot
+    num_bytes: 655
+    num_examples: 5
+    num_tokens_gpt_4o: 87
+    num_tokens_gemma_2: 87
+    num_tokens_llama_3: 90
+  download_size: 506409
+  dataset_size: 3098487
+  total_tokens_gpt_4o: 158883
+  total_tokens_gemma_2: 176848
+  total_tokens_llama_3: 335873
+configs:
+- config_name: default
+  data_files:
+  - split: id
+    path: data/id-*
+  - split: id_fewshot
+    path: data/id_fewshot-*
+  - split: jv
+    path: data/jv-*
+  - split: jv_fewshot
+    path: data/jv_fewshot-*
+  - split: su
+    path: data/su-*
+  - split: su_fewshot
+    path: data/su_fewshot-*
+  - split: ta
+    path: data/ta-*
+  - split: ta_fewshot
+    path: data/ta_fewshot-*
+  - split: th
+    path: data/th-*
+  - split: th_fewshot
+    path: data/th_fewshot-*
+  - split: vi
+    path: data/vi-*
+  - split: vi_fewshot
+    path: data/vi_fewshot-*
+size_categories:
+- 1K<n<10K
+---
+# SEA Sentiment Analysis
+SEA Sentiment Analysis evaluates a model's ability to identify the sentiment polarity of a text. It is sampled from [NusaX](https://aclanthology.org/2023.eacl-main.57/) for Indonesian, Javanese, and Sundanese, [IndicSentiment](https://aclanthology.org/2023.acl-long.693) for Tamil, [Wisesight Sentiment](https://doi.org/10.5281/zenodo.3457446) for Thai, and [UIT-VSFC](https://www.researchgate.net/publication/329645066_UIT-VSFC_Vietnamese_Students%27_Feedback_Corpus_for_Sentiment_Analysis) for Vietnamese.
+### Supported Tasks and Leaderboards
+SEA Sentiment Analysis is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the [SEA-HELM](https://leaderboard.sea-lion.ai/) leaderboard from [AI Singapore](https://aisingapore.org/).
+### Languages
+- Indonesian (id)
+- Javanese (jv)
+- Sundanese (su)
+- Tamil (ta)
+- Thai (th)
+- Vietnamese (vi)
+### Dataset Details
+SEA Sentiment Analysis is split by language, with additional splits containing fewshot examples. Below are the statistics for this dataset. The number of tokens only refer to the strings of text found within the `prompts` column.
+| Split | # of examples | # of GPT-4o tokens | # of Gemma 2 tokens | # of Llama 3 tokens |
+|-|:-|:-|:-|:-|
+| id | 400 | 15131 | 13918 | 19274
+| jv | 394 | 16731 | 17453 | 20638
+| su | 394 | 17123 | 18632 | 22056
+| ta | 1000 | 54038 | 71449 | 211075
+| th | 1000 | 38252 | 38111 | 4444
+| vi | 1000 | 16732 | 16307 | 16755
+| id_fewshot | 5 | 145 | 137 | 175
+| jv_fewshot | 5 | 201 | 219 | 255
+| su_fewshot | 5 | 201 | 217 | 253
+| ta_fewshot | 5 | 192 | 264 | 792
+| th_fewshot | 5 | 50 | 54 | 63
+| vi_fewshot | 5 | 87 | 87 | 90
+| **total** | 4218 | 158883 | 176848 | 335873 |
+### Data Sources
+| Data Source | License | Language/s | Split/s
+|-|:-|:-| :-|
+| [NusaX-Senti](https://huggingface.co/datasets/indonlp/NusaX-senti) | [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) | Indonesian, Javanese, Sundanese | id, id_fewshot, jv, jv_fewshot, su, su_fewshot
+| [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicQA) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | Tamil | ta, ta_fewshot
+| [Wisesight Sentiment](https://github.com/PyThaiNLP/wisesight-sentiment) | [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) | Thai | th, th_fewshot
+| [UIT-VSFC](https://huggingface.co/datasets/uitnlp/vietnamese_students_feedback) | - | Vietnamese | vi, vi_fewshot
+### License
+For the license/s of the dataset/s, please refer to the data sources table above.
+We endeavor to ensure data used is permissible and have chosen datasets from creators who have processes to exclude copyrighted or disputed data.
+### References
+```bibtex
+@inproceedings{winata-etal-2023-nusax,
+    title = "{N}usa{X}: Multilingual Parallel Sentiment Dataset for 10 {I}ndonesian Local Languages",
+    author = "Winata, Genta Indra  and
+      Aji, Alham Fikri  and
+      Cahyawijaya, Samuel  and
+      Mahendra, Rahmad  and
+      Koto, Fajri  and
+      Romadhony, Ade  and
+      Kurniawan, Kemal  and
+      Moeljadi, David  and
+      Prasojo, Radityo Eko  and
+      Fung, Pascale  and
+      Baldwin, Timothy  and
+      Lau, Jey Han  and
+      Sennrich, Rico  and
+      Ruder, Sebastian",
+    editor = "Vlachos, Andreas  and
+      Augenstein, Isabelle",
+    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
+    month = may,
+    year = "2023",
+    address = "Dubrovnik, Croatia",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.eacl-main.57",
+    doi = "10.18653/v1/2023.eacl-main.57",
+    pages = "815--834",
+}
+@inproceedings{doddapaneni-etal-2023-towards,
+    title = "Towards Leaving No {I}ndic Language Behind: Building Monolingual Corpora, Benchmark and Models for {I}ndic Languages",
+    author = "Doddapaneni, Sumanth  and
+      Aralikatte, Rahul  and
+      Ramesh, Gowtham  and
+      Goyal, Shreya  and
+      Khapra, Mitesh M.  and
+      Kunchukuttan, Anoop  and
+      Kumar, Pratyush",
+    editor = "Rogers, Anna  and
+      Boyd-Graber, Jordan  and
+      Okazaki, Naoaki",
+    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2023",
+    address = "Toronto, Canada",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.acl-long.693",
+    doi = "10.18653/v1/2023.acl-long.693",
+    pages = "12402--12426",
+}
+@misc{Suriyawongkul_PyThaiNLP_Wisesight_Sentiment_Corpus_2020,
+  author       = {Suriyawongkul, Arthit and
+                  Chuangsuwanich, Ekapol and
+                  Chormai, Pattarawat and
+                  Chantarapratin, Nitchakarn and
+                  Prasertsom, Ponrawee and
+                  Sawatphol, Jitkapat and
+                  Yamada, Nozomi and
+                  Rutherford, Attapol and
+                  Polpanumas, Charin and
+                  Udomcharoenchaikit, Can},
+  doi          = {10.5281/zenodo.3457446},
+  license      = {CC0-1.0},
+  month        = nov,
+  publisher    = {Zenodo},
+  title        = {{PyThaiNLP/Wisesight Sentiment Corpus with Word Tokenization Label}},
+  url          = {https://doi.org/10.5281/zenodo.3457446},
+  version      = {v1.1},
+  year         = 2024
+}
+@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}
+}
+@misc{leong2023bhasaholisticsoutheastasian,
+      title={BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models},
+      author={Wei Qi Leong and Jian Gang Ngui and Yosephine Susanto and Hamsawardhini Rengarajan and Kengatharaiyer Sarveswaran and William Chandra Tjhi},
+      year={2023},
+      eprint={2309.06085},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2309.06085},
+}
+```