Datasets:
routing_analysis finetuning data
A mirror of routing_analysis/finetuning/data/: the JSONL training splits used
in the multilingual MoE language-expansion experiments, plus the generator
scripts, runners, manifests and logs that produced them.
Layout
| Path | Contents | Size |
|---|---|---|
splits/ |
Document-count tiers {lang}_{tier}.jsonl, {lang}_manifest.json, splits_summary.json |
~36 GB |
token_budget_splits/ |
Token-budget tiers {lang}_{1Btok,1p5Btok,2Btok}.jsonl and manifests |
~66 GB |
indicrag_suite_tamil/ |
Tamil QA text from Indic-Rag-Suite, grouped train/validation split, 4096-token packed arrays | ~3.7 GB |
tam_1000k/ |
Generator, verifier and token counts for splits/tam_Taml_1000k.jsonl |
small |
*.py, run_*.sh, logs/, *.md |
Split generators, runners, run logs and notes | small |
Every JSONL line in splits/ and token_budget_splits/ is
{"id": ..., "text": ..., "language": ...}.
Document-count tiers (splits/)
Documents are taken in canonical source order with len(text) >= 100, and each
smaller tier is an exact byte prefix of the next larger one
(e.g. 50k ⊂ 100k ⊂ 500k). Each {lang}_manifest.json records the source and the
bytes / SHA-256 of every tier.
| Language | Source | Tiers |
|---|---|---|
amh_Ethi |
FineWeb-2 | 50k, 100k |
cat_Latn |
FineWeb-2 | 50k, 100k, 500k |
dan_Latn |
FineWeb2-HQ | 50k, 100k, 500k, 1000k |
fas_Arab |
FineWeb2-HQ | 50k, 100k, 500k |
hau_Latn |
FineWeb-2 | 50k, 100k, 500k |
kat_Geor |
FineWeb-2 | 50k, 100k, 500k |
swe_Latn |
FineWeb2-HQ | 50k, 100k, 500k |
swh_Latn |
FineWeb-2 | 50k, 100k, 500k |
tam_Taml |
FineWeb-2 | 50k, 100k, 500k, 1000k |
yor_Latn |
FineWeb-2 | 50k |
amh_Ethi and yor_Latn come from data/{lang}/train/000_00000.parquet of
HuggingFaceFW/fineweb-2 at revision af9c13333eb981300149d5ca60a8e9d659b276b9
and were built by prepare_fineweb2_amh_yor_splits.py
(run_prepare_amh_yor_splits.sh).
Token-budget tiers (token_budget_splits/)
Fixed-seed (42) splits for cat_Latn, dan_Latn, fas_Arab, swe_Latn and
tam_Taml at 1B / 1.5B / 2B raw tokenizer tokens, built by
prepare_token_budget_splits.py. Per-tier document and token counts are in
token_budget_splits/token_budget_splits_summary.md; the plan is in
TOKEN_BUDGET_SPLITS.md.
Tamil Indic-Rag-Suite (indicrag_suite_tamil/)
The Tamil subset of ai4bharat/Indic-Rag-Suite (946,544 rows) rendered as
Question: ... | Answer: ... | Reasoning: ..., split into 936,993 train and
9,551 validation rows by connected wiki_id components, and packed into
4096-token blocks (*_packed4096/, NumPy arrays with a source map).
Download
# One language's document-count tiers
hf download lylybig8/routing_analysis-finetuning-data --repo-type dataset \
--include "splits/amh_Ethi_*" --local-dir finetuning/data
# Everything
hf download lylybig8/routing_analysis-finetuning-data --repo-type dataset \
--local-dir finetuning/data
Absolute paths inside manifests and logs refer to the machines the files were generated on.
License and sources
- FineWeb-2 and FineWeb2-HQ: ODC-By 1.0, subject to the Common Crawl terms of use.
- Indic-Rag-Suite
(
indicrag_suite_tamil/): MIT.
This repository redistributes subsets of these datasets under their original licenses.
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