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Remove tweet_id column; update README (citation, NOODL license)

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  1. README.md +11 -8
  2. dev.csv +0 -0
  3. full.csv +0 -0
  4. test.csv +0 -0
  5. train.csv +0 -0
README.md CHANGED
@@ -1,5 +1,6 @@
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  ---
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- license: cc-by-4.0
 
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  language:
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  - tn
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  task_categories:
@@ -63,7 +64,6 @@ The `train`/`validation`/`test` splits contain only the three core sentiment cla
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  | Column | Type | Description |
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  |--------------------|---------|---------------------------------------------------------------------------------------------------|
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  | `example_id` | string | Unique identifier for the annotation example |
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- | `tweet_id` | string | Original Twitter status ID |
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  | `batch` | int | `0` = training/calibration batch; `1`–`7` = production batches |
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  | `text` | string | **Preprocessed** tweet text — the field intended as model input |
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  | `token_count` | int | Number of tokens in the tweet |
@@ -142,17 +142,20 @@ full = load_dataset("dsfsi/setswana-sentiment", "full")
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  ## License
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- Released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
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  ## Citation
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  If you use this dataset, please cite:
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  ```bibtex
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- @misc{dsfsi2026setswanasentiment,
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- title = {DSFSI Setswana Sentiment: A Setswana Twitter Sentiment Corpus with Annotator-Level Metadata},
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- author = {Abdulmumin, Idris and Matloga, Mokgadi Penelope and Kondowe, Botshelo and Mohleleng, Letlhogonolo and Letsoalo, Hareaipha Nkopo and Marivate, Vukosi},
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- year = {2026},
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- howpublished = {\url{https://huggingface.co/datasets/dsfsi/setswana-sentiment}}
 
 
 
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  }
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  ```
 
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  ---
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+ license: other
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+ license_name: noodl
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  language:
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  - tn
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  task_categories:
 
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  | Column | Type | Description |
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  |--------------------|---------|---------------------------------------------------------------------------------------------------|
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  | `example_id` | string | Unique identifier for the annotation example |
 
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  | `batch` | int | `0` = training/calibration batch; `1`–`7` = production batches |
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  | `text` | string | **Preprocessed** tweet text — the field intended as model input |
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  | `token_count` | int | Number of tokens in the tweet |
 
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  ## License
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+ Released under the **NOODL** license.
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  ## Citation
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  If you use this dataset, please cite:
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  ```bibtex
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+ @misc{abdulmumin2026temporalsimultaneitypredictsannotation,
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+ title={Temporal Simultaneity Predicts Annotation Quality in Sentiment Corpora},
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+ author={Idris Abdulmumin and Mokgadi Penelope Matloga and Tadesse Destaw Belay and Botshelo Kondowe and Letlhogonolo Mohleleng and Hareaipha Nkopo Letsoalo and Shamsuddeen Hassan Muhammad and Vukosi Marivate},
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+ year={2026},
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+ eprint={2605.27239},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2605.27239},
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  }
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  ```
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