kin-post-training
Kinyarwanda instruction / chat data compiled from public datasets in the style of Walia-LLM (Azime et al., 2024, arXiv:2402.08015): task datasets (translation, classification, tagging, NER, generation) are converted to instructions using many paraphrased templates, and existing instruction / chat sets are added as-is.
1,002,844 train / 3,743 validation rows. Validation is a random per-task holdout (0.5%, 20-1000 rows per task).
Columns
id, source, task, instruction_lang (kin or en = language of the template, native = source already an instruction/chat set),
instruction, input, output, messages (chat form: list of role/content dicts, multi-turn for chat sources).
Tasks
| task | rows |
|---|---|
| translation_kin_en | 336,742 |
| translation_en_kin | 336,288 |
| code_chat | 176,678 |
| chat | 43,321 |
| instruction_following | 41,601 |
| text_continuation | 40,271 |
| news_topic_classification | 9,075 |
| sentiment_analysis | 6,536 |
| article_generation | 5,916 |
| title_generation | 5,916 |
| intent_classification | 2,240 |
| topic_classification | 800 |
| pos_tagging | 753 |
| question_answering | 255 |
| named_entity_recognition | 195 |
Sources
| source key | dataset | note |
|---|---|---|
| du_gazette | DigitalUmuganda/NMT_Rwandan-Gazette_parallel_data_en_kin | human-validated en-kin legal gazette parallel text |
| du_health | DigitalUmuganda/NMT_Health_parallel_data_en_kin | human translations, health domain |
| rogerb_du | RogerB/kin_en_DigitalUmuganda | en-kin sentence pairs (Digital Umuganda) |
| kira_en_rw | Kira-Floris/cross-lingual-translation-en-kin-parquet | en-kin translation instructions (150k sample of 492k) |
| smalltalk_phrases | map-boy/kinyarwanda-dialogue-dataset | short small-talk phrase pairs |
| code170k_kin | michsethowusu/Code-170k-kinyarwanda | machine-translated code Q&A chat |
| alpaca_kin | saillab/alpaca-kinyarwanda-cleaned | machine-translated Alpaca |
| kakugo_kin | ptrdvn/kakugo-kin | synthetic LLM chat (reasoning blocks removed) |
| african_ultrachat | masakhane/african-ultrachat | multi-turn chat |
| mbaza_mono | mbazaNLP/kinyarwanda_monolingual_v01.0 | monolingual text -> text continuation (40k sample) |
| wikipedia_rw | wikimedia/wikipedia (20231101.rw) | Wikipedia -> article/title/continuation tasks |
| kinnews | KoseiUemura/KinNewsClassification (kinnews_cleaned) | news topic classification (14 classes) |
| sib200 | Davlan/sib200 (kin_Latn) | topic classification (7 classes) |
| injongo_intent | masakhane/InjongoIntent (kin) | intent classification (40 intents) |
| masakhapos | masakhane/masakhapos (kin) | UPOS tagging |
| wikiann | unimelb-nlp/wikiann (rw) | named entity recognition |
| aya_ | CohereLabs/aya_collection_language_split (kinyarwanda) | AfriSenti sentiment + AfriQA (instructions in English) |
Known limitations (please read)
- The Kinyarwanda instruction templates (
templates.json) were drafted by an AI model and have not been reviewed by a native speaker. - Quality varies by source:
code170k_kinandalpaca_kinare machine-translated;kakugo_kinis synthetic;kira_en_rwmixes human and machine translations. Use thesourcecolumn to filter or reweight. - Excluded after inspection:
Helsinki-NLP/opus-100 en-rw(noisy machine-translated software strings) andmbazaNLP/Kinyarwanda_English_parallel_dataset(English side is lower-cased Bible text with stopwords removed). - Gated or unreadable sources were not included. Licenses differ per source; check each source dataset before commercial use.
- Only exact duplicates were removed (per task direction); there may be near-duplicates and overlap between sources. Test splits
of source datasets were not used, but SIB-200
devand WikiANNvalidationwere, so do not evaluate on those.
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Paper for SaarAI/kin-post-training
Paper • 2402.08015 • Published • 1