| --- |
| language: |
| - bo |
| - zh |
| task_categories: |
| - text-classification |
| tags: |
| - tibetan |
| - sentiment-analysis |
| - multimodal-metadata |
| license: cc-by-nc-4.0 |
| pretty_name: Ti-SIMS |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: splits/train.csv |
| - split: validation |
| path: splits/validation.csv |
| - split: test |
| path: splits/test.csv |
| --- |
| |
| # Ti-SIMS: Public Text and Annotation Release |
|
|
| ## Dataset summary |
|
|
| This public release contains 2,952 independently authored Tibetan-Chinese |
| dialogue-text records with three-class sentiment annotations. The records are |
| grouped into 1,152 dialogues. The fixed split contains 2,362 training samples, |
| 295 validation samples, and 295 test samples. |
|
|
| The original research corpus was constructed for image-text sentiment |
| analysis. Its television-frame images are not included in this repository |
| because they are copyright-restricted third-party material. The `image_id` |
| field is retained only as an opaque alignment identifier; it does not provide |
| or link to an image. |
|
|
| ## Files |
|
|
| ```text |
| splits/train.csv |
| splits/validation.csv |
| splits/test.csv |
| splits/split_summary.json |
| release_manifest.json |
| ``` |
|
|
| ## Fields |
|
|
| - `dialog_id`: anonymized dialogue identifier. |
| - `turn_index`: zero-based turn index within a dialogue. |
| - `image_id`: opaque alignment identifier; no image is distributed. |
| - `chinese`: independently authored Chinese text. |
| - `Tibetan`: independently authored Tibetan text. |
| - `sentiment`: `negative`, `neutral`, or `positive`. |
|
|
| ## Split policy |
|
|
| Splitting is performed by dialogue rather than by individual utterance, so a |
| dialogue cannot overlap between training, validation, and test sets. The split |
| seed is 42. `split_summary.json` records the label counts and dataset |
| fingerprint used by the TCAF experiments. |
|
|
| ## Copyright and access scope |
|
|
| Only the independently authored text, sentiment annotations, identifiers, and |
| split metadata are distributed under CC BY-NC 4.0. No television frame, |
| episode, subtitle, video, image path, or third-party media file is distributed |
| or licensed by this repository. |
|
|
| Consequently, this public release supports verification of the textual data, |
| labels, and split protocol, but it does not by itself enable exact reproduction |
| of the image-based portions of the original multimodal experiments. |
|
|
| ## Intended use |
|
|
| The release is intended for non-commercial academic research on Tibetan text |
| sentiment analysis, low-resource NLP, data splitting, and annotation analysis. |
| Users should report results on the provided fixed splits and clearly state |
| that the public release excludes the copyright-restricted visual modality. |
|
|
| ## Limitations |
|
|
| The dataset is small and domain-specific. It may contain linguistic, |
| translation, cultural, and class-distribution biases. Results should not be |
| interpreted as representative of all Tibetan speakers, domains, or dialects. |
|
|
| ## Citation |
|
|
| Please cite the TCAF paper and the accompanying code repository: |
|
|
| https://github.com/ChengGit001/TCAF |
|
|
