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# Data Collection
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## Overview
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BwengeAi collects Kinyarwanda language data from 200+ sources across 12 pipeline stages.
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## Pipeline Stages
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| Step | Collector | Source | Description |
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|------|-----------|--------|-------------|
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| 1 | HuggingfaceCollector | HuggingFace Hub | 200 datasets via streaming |
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| 2 | ParallelCorpusCollector | HuggingFace Hub | michsethowusu parallel pairs |
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| 3 | CC100OSCARCollector | HuggingFace Hub | CC-100/OSCAR monolingual |
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| 4 | MasakhaneCollector | HuggingFace Hub | African NLP benchmarks |
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| 5 | WikipediaCollector | rw.wikipedia.org | API + XML dump |
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| 6 | IgiheScraper | igihe.com | News articles |
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| 7 | KigaliTodayScraper | kigalitoday.com | News articles |
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| 8 | RSSCollector | newtimes.co.rw | RSS feed articles |
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| 9 | WikisourceCollector | rw.wikisource.org | Public texts |
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| 10 | WiktionaryCollector | rw.wiktionary.org | Dictionary entries |
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| 11 | RBCCollector | rbc.gov.rw | Health content |
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| 12 | DataProcessor | Local files | Clean + deduplicate |
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## Running
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```bash
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python scripts/collect_all.py
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```
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## Output
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- `data/raw/` — Raw collected JSONL files
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- `data/processed/training_data.jsonl` — Cleaned text for LM training
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- `data/processed/instruction_data.jsonl` — Instruction-following format
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- `data/processed/chat_data.jsonl` — Chat/conversation format
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## Configuration
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All dataset sources are defined in `configs/default.yaml`.
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