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Safety remediation: redistribute ONLY the Manual-derived Chanka data (CC-BY-4.0, attribution to Min. de Cultura/Ardito Vega). Remove JW300/AmericasNLP, SomosNLP, FLORES, Benito-2018, Nouman/RunaSimi, C4-synth and eval outputs (prohibited/viral/unconfirmed licenses) - documented + reconstructable via scripts. Honest provenance card.

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Files changed (35) hide show
  1. README.md +95 -90
  2. americasnlp/americasnlp_quechua_spanish_eval.parquet +0 -3
  3. americasnlp/americasnlp_quechua_spanish_high_quality_real_sft.parquet +0 -3
  4. americasnlp/americasnlp_quechua_spanish_scored.parquet +0 -3
  5. broad_quechua/somosnlp_spanish_to_quechua_broad_sft.parquet +0 -3
  6. broad_quechua/somosnlp_spanish_to_quechua_high_quality_sft.parquet +0 -3
  7. broad_quechua/somosnlp_spanish_to_quechua_scored.parquet +0 -3
  8. clean_chanka/manual_quechua_chanka_expanded_v30_training_ready.parquet +0 -3
  9. clean_chanka/manual_quechua_chanka_expanded_v31_training_ready.parquet +0 -3
  10. clean_chanka/manual_quechua_chanka_expanded_v32_training_ready.parquet +0 -3
  11. clean_chanka/v34_raw_corpus.parquet +0 -3
  12. clean_chanka/v34_training_corpus.parquet +0 -3
  13. clean_chanka/v34_training_corpus_clean3.parquet +0 -3
  14. eval_mbr/abl_nllbr2_val.json +0 -8
  15. eval_mbr/ens_3way_madlad.json +0 -10
  16. eval_mbr/ens_4way.json +0 -11
  17. eval_mbr/ens_strong3.json +0 -10
  18. eval_mbr/ens_v30_gspo.json +0 -9
  19. eval_mbr/ens_v30_nllb.json +0 -9
  20. eval_mbr/ens_v30_nllbv2.json +0 -9
  21. eval_mbr/ens_v30_v32.json +0 -9
  22. eval_mbr/gspo_cands_n64.jsonl +0 -0
  23. eval_mbr/gspo_self_mbr.json +0 -8
  24. eval_mbr/nllb_v2_cands_n64.jsonl +0 -0
  25. eval_mbr/nllbv2_self_mbr.json +0 -8
  26. eval_mbr/v30_cands_n64.jsonl +0 -0
  27. eval_mbr/v30_mbr_n32.json +0 -9
  28. eval_mbr/v30_self_dedup.json +0 -8
  29. metadata/source_manifest.csv +0 -12
  30. rl/nllb_aggregate_corpus.parquet +0 -3
  31. rl/nllb_v2_corpus.parquet +0 -3
  32. rl/rl_heldout_quy.parquet +0 -3
  33. rl/rl_train_split.parquet +0 -3
  34. rl/rl_val_split.parquet +0 -3
  35. synth/synth_v30_200k.jsonl +0 -3
README.md CHANGED
@@ -1,105 +1,110 @@
1
  ---
2
- license: other
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  language:
4
  - es
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- - qu
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  - quy
 
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  task_categories:
8
  - translation
9
  tags:
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  - quechua
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  - chanka
 
12
  - spanish
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  - parallel-corpus
 
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  - rosettia
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- - somosnlp-2026
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- pretty_name: RosettIA Chanka Quechua Parallel Data
17
  ---
18
 
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- # RosettIA Chanka Quechua Parallel Data
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-
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- This dataset release supports the RosettIA - Quechua project for the SomosNLP 2026 hackathon.
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-
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- GitHub repository: https://github.com/Sekinal/rosettia-chanka
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-
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- ## What Is Included
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-
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- ### `clean_chanka/`
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-
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- Reviewed Spanish-Chanka Quechua artifacts extracted from *Manual para el empleo del Quechua Chanka en la administracion de justicia* (Ministerio de Cultura del Peru, 2014).
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-
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- Main training file:
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-
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- - `clean_chanka/manual_quechua_chanka_parallel_training_ready_augmented.parquet` - 1,055 reviewed Spanish-Chanka pairs.
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-
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- Other clean Chanka files:
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-
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- - `manual_quechua_chanka_parallel_reviewed.parquet` - 1,012 reviewed extraction rows with decisions/flags.
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- - `manual_quechua_chanka_parallel_alternative_splits.parquet` - 81 rows created by splitting slash alternatives.
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- - `manual_quechua_chanka_glossary_entries.parquet` - 423 glossary entries.
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- - `manual_quechua_chanka_glossary_simple_terms.parquet` - 219 simple glossary term pairs.
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-
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- The source PDF is **not included** in this dataset repository.
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-
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- ### `broad_quechua/`
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-
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- Filtered broad Spanish-Quechua data derived from the public Hugging Face dataset `somosnlp-hackathon-2022/spanish-to-quechua`.
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-
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- Recommended broad SFT file:
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-
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- - `broad_quechua/somosnlp_spanish_to_quechua_high_quality_sft.parquet` - 82,873 strict no-flag filtered pairs.
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-
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- Ablation/debug files:
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-
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- - `somosnlp_spanish_to_quechua_broad_sft.parquet` - 111,699 broader backup filtered pairs.
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- - `somosnlp_spanish_to_quechua_scored.parquet` - 123,839 unique normalized pairs with scores and filter flags.
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-
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- This broad tier is **not Chanka-verified**. Use it for initial broad Quechua-Spanish translation adaptation only, then fine-tune/evaluate on the clean Chanka tier.
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-
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-
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- ### `americasnlp/`
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-
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- Filtered broad Quechua-Spanish data derived from AmericasNLP 2024 ST1 `quechua-spanish` resources.
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-
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- Recommended real-source file:
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-
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- - `americasnlp/americasnlp_quechua_spanish_high_quality_real_sft.parquet` - 87,004 strict high-quality real-source pairs.
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-
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- Evaluation/debug files:
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-
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- - `americasnlp_quechua_spanish_eval.parquet` - 996 dev/evaluation rows.
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- - `americasnlp_quechua_spanish_scored.parquet` - 194,665 unique normalized rows with scores and filter flags.
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-
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- This tier includes `quy` data but is **not reviewed Chanka judicial-domain data**. Keep it separate from `clean_chanka/`. Synthetic/backtranslated AmericasNLP data is intentionally not included in this public release.
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-
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- ## Recommended Training Use
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-
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- 1. Broad SFT option A: `broad_quechua/somosnlp_spanish_to_quechua_high_quality_sft.parquet`
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- 2. Broad SFT option B: `americasnlp/americasnlp_quechua_spanish_high_quality_real_sft.parquet`
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- 3. Chanka/domain adaptation: `clean_chanka/manual_quechua_chanka_parallel_training_ready_augmented.parquet`
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-
81
- Keep the two tiers separate in experiments.
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-
83
- ## License And Provenance
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-
85
- This is a mixed-provenance release, so the dataset card uses `license: other`.
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-
87
- - The clean Chanka source document states reproduction is permitted when citing the source. The PDF itself is not uploaded here.
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- - The broad Quechua files are derived from `somosnlp-hackathon-2022/spanish-to-quechua`; the visible dataset card did not expose a clear license during our review. Users should check upstream terms before redistribution or commercial use.
89
-
90
- See `metadata/source_manifest.csv` and the markdown files in `metadata/` for counts, caveats, and reproducibility notes.
91
-
92
- ## Reproduce
93
-
94
- Clone the GitHub repo and run:
95
-
96
- ```bash
97
- uv sync
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- uv run python scripts/extract_manual_parallel_corpus.py
99
- uv run python scripts/review_manual_parallel_corpus.py
100
- uv run python scripts/split_manual_alternatives.py
101
- uv run python scripts/extract_manual_glossary.py
102
- uv run python scripts/preprocess_somosnlp_dirty_parallel.py
 
 
 
 
 
 
103
  ```
104
-
105
- The raw source PDF is not included here; place it at the path documented in the GitHub repo before reproducing the manual extraction.
 
1
  ---
2
+ license: cc-by-4.0
3
  language:
4
  - es
 
5
  - quy
6
+ - qu
7
  task_categories:
8
  - translation
9
  tags:
10
  - quechua
11
  - chanka
12
+ - ayacucho-quechua
13
  - spanish
14
  - parallel-corpus
15
+ - judicial
16
  - rosettia
17
+ pretty_name: RosettIA Chanka Quechua — Judicial Parallel Data (redistributable subset)
 
18
  ---
19
 
20
+ # RosettIA Chanka Quechua — Judicial Parallel Data
21
+
22
+ Spanish **Chanka / Ayacucho Quechua (`quy`)** parallel data for the
23
+ [RosettIA project](https://github.com/Sekinal/rosettia-chanka).
24
+
25
+ > ## ⚠️ Scope of this public release (please read)
26
+ > This repository **only hosts the data we can redistribute cleanly** — the
27
+ > Spanish–Chanka pairs and glossary extracted from a Peruvian Ministry of Culture
28
+ > manual that **explicitly permits reproduction with attribution**.
29
+ >
30
+ > Our models were *also* trained on broad, synthetic, and reinforcement-learning
31
+ > corpora built from **third-party sources with restrictive, viral, or unconfirmed
32
+ > licenses** (JW300-derived AmericasNLP data, SomosNLP, FLORES-200, a published
33
+ > dictionary, web-mined text, C4). **We do not redistribute any of that here.**
34
+ > It is fully documented below, with source links, licenses, and the scripts to
35
+ > reconstruct it from the original providers under their own terms. See
36
+ > *"Data used but NOT redistributed here."*
37
+
38
+ ## What is included
39
+
40
+ All files are derived from a single, explicitly-redistributable source (see License & credits):
41
+
42
+ | File | Rows | Content |
43
+ |---|---:|---|
44
+ | `clean_chanka/manual_quechua_chanka_parallel_training_ready_augmented.parquet` | 1,055 | Reviewed Spanish–Chanka judicial/administrative pairs (slash-alternatives split) |
45
+ | `clean_chanka/manual_quechua_chanka_parallel_reviewed.parquet` | 1,012 | Reviewed extraction rows with decisions/flags |
46
+ | `clean_chanka/manual_quechua_chanka_parallel_alternative_splits.parquet` | 81 | Rows created from reviewed slash-alternative pairs |
47
+ | `clean_chanka/manual_quechua_chanka_glossary_entries.parquet` | 423 | Glossary entries from the manual's vocabulary sections |
48
+ | `clean_chanka/manual_quechua_chanka_glossary_simple_terms.parquet` | 219 | Simple glossary term pairs |
49
+
50
+ Columns: `reviewed_spanish`, `reviewed_chanka_quechua` (+ review/flag metadata).
51
+ Domain: **judicial / administration of justice** (not general-domain Chanka). Provenance
52
+ notes are in `metadata/`.
53
+
54
+ ## License & credits
55
+
56
+ **License: `CC-BY-4.0`** (attribution required).
57
+
58
+ All included data is extracted from:
59
+
60
+ > **Ardito Vega, W. (2014).** *Manual para el empleo del Quechua Chanka en la administración
61
+ > de justicia.* Ministerio de Cultura del Perú, 1ª ed., Lima, abril 2014. ISBN 978-612-4126-20-8.
62
+ > Source PDF: https://repositorio.cultura.gob.pe/handle/CULTURA/51
63
+
64
+ The manual states (p. 3): *"Se permite la reproducción de esta obra siempre y cuando se cite
65
+ la fuente."* (Reproduction is permitted provided the source is cited.) We therefore release the
66
+ **extracted/derived** parallel pairs and glossary (not the PDF) under CC-BY-4.0, and require
67
+ attribution to:
68
+
69
+ - **Content author:** Wilfredo Ardito Vega
70
+ - **Collaborators:** Eber Llacctarimay Quispe, Cinthya Palomino Córdova, Juan Galiano Román,
71
+ Apolinario Ciriaco Saldívar Bolívar, Clodomiro Landeo Lagos, Salvador Alvarado Tovar,
72
+ Carlos Andrés Vera Vásquez
73
+ - **Editor:** Mónica Hidalgo Cornejo · **Publisher:** Ministerio de Cultura del Perú
74
+
75
+ If you use this data, please cite the manual above **and** the RosettIA project.
76
+
77
+ ## Data used but NOT redistributed here
78
+
79
+ Our models were trained on additional corpora that we **cannot redistribute** (prohibited,
80
+ viral, non-commercial, or unconfirmed licenses). They are **not** in this repository. To
81
+ reproduce our training data, fetch each from its original provider under its own terms using
82
+ the build scripts in the [GitHub repo](https://github.com/Sekinal/rosettia-chanka) (`scripts/`).
83
+
84
+ | Source (used for) | Link | License / status | Why not hosted here |
85
+ |---|---|---|---|
86
+ | **AmericasNLP 2024 ST1 quy** (broad + NLLB + RL data) — **JW300-derived** | [github.com/AmericasNLP/americasnlp2024](https://github.com/AmericasNLP/americasnlp2024); [JW300 paper](https://aclanthology.org/P19-1310/) | **Not redistributable** — JW300 was distributed without the copyright holder's (Watch Tower) permission and withdrawn | Prohibited |
87
+ | **SomosNLP `spanish-to-quechua`** (broad SFT) | [HF dataset](https://huggingface.co/datasets/somosnlp-hackathon-2022/spanish-to-quechua) | **No license stated** (mixes Tatoeba CC-BY, biblical, AmericasNLP) | No granted right |
88
+ | **FLORES-200** (inside NLLB corpus) | [facebook/flores](https://huggingface.co/datasets/facebook/flores) | CC-BY-SA-4.0 (viral share-alike; provider discourages re-hosting eval data) | Avoid share-alike entanglement + eval-integrity |
89
+ | **Diccionario Básico Quechua Chanka** (Benito Zuasnabar, 2018) | published dictionary | Copyrighted / unconfirmed | No open license |
90
+ | **nouman-10/MT-SharedTask** incl. *Le Petit Prince* (v31/v32 experiments) | [github](https://github.com/nouman-10/MT-SharedTask) | No repo license; *Little Prince* still under copyright | Not redistributable |
91
+ | **RunaSimi.de** Ayacucho vocab (v31 experiment) | [runasimi.de](https://www.runasimi.de/) | © Philip Jacobs non-commercial + attribution | Non-commercial |
92
+ | **Synthetic targets** (NLLB distillation): Spanish from **C4 / OPUS** → quy by our model | [allenai/c4](https://huggingface.co/datasets/allenai/c4) (ODC-BY), [OPUS](https://opus.nlpl.eu/) | quy = our model output; Spanish carries C4 ODC-BY + Common Crawl ToS | Avoid hosting C4-derived web text |
93
+
94
+ (Note: the experimental v31/v32, v34-normalizer, broad-ablation, and `eval_mbr/` result files are
95
+ also not part of this release — this dataset is scoped to the **data actually used**, and only the
96
+ cleanly-licensed part of it.)
97
+
98
+ ## Citation
99
+
100
+ ```bibtex
101
+ @misc{rosettia_chanka_data,
102
+ title = {RosettIA Chanka Quechua — Judicial Parallel Data},
103
+ author = {RosettIA project},
104
+ note = {Derived from: Ardito Vega, W. (2014), Manual para el empleo del Quechua Chanka
105
+ en la administración de justicia, Ministerio de Cultura del Perú,
106
+ ISBN 978-612-4126-20-8},
107
+ url = {https://github.com/Sekinal/rosettia-chanka},
108
+ year = {2026}
109
+ }
110
  ```
 
 
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6
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8
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