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Jnx03/kanitakorn-deepseek-v45-v44-openthaieval-bridge-mix

published by @Jnx03

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
137
Last 30 days
37
Likes
-
Size
3.8 MB
Created on HF
2026-06-14
Age
4 months ago

Description

Kanitakorn v45 v44 + OpenThaiEval bridge mix

Train-ready SFT mix for a non-Thai-base DeepSeek/Qwen-style <=14B candidate.

Delta from v44:

reuses all v44 normalized MCQ replay and identity rows unchanged

adds locked, verified synthetic OpenThaiEval-style rows

normalizes those bridge rows so explanation precedes the final answer

keeps single-model training only; no BoN, self-consistency, routing, ensemble, or benchmark-label leakage

Rows: 1240

Bridge rows: 70

Train SHA256:… See the full description on the dataset page: https://huggingface.co/datasets/Jnx03/kanitakorn-deepseek-v45-v44-openthaieval-bridge-mix.

Tags

language:thlanguage:enlicense:othersize_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ussyntheticthaillm-sftopenthaievalkanitakorn

README current version from Hugging Face

language:

  • th
  • en
    license: other
    tags:
  • synthetic
  • thai
  • llm-sft
  • openthaieval
  • kanitakorn
    pretty_name: Kanitakorn DeepSeek v45 v44 OpenThaiEval Bridge Mix

Kanitakorn v45 v44 + OpenThaiEval bridge mix

Train-ready SFT mix for a non-Thai-base DeepSeek/Qwen-style <=14B candidate.

Delta from v44:

  • reuses all v44 normalized MCQ replay and identity rows unchanged
  • adds locked, verified synthetic OpenThaiEval-style rows
  • normalizes those bridge rows so explanation precedes the final answer
  • keeps single-model training only; no BoN, self-consistency, routing, ensemble, or benchmark-label leakage

Rows: 1240
Bridge rows: 70
Train SHA256: 61fd24a7c9c6932a55029156946346951b7bc5bc12405ff83ead272550845645

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-06-14identity-patched v45 train databcfe072759 B
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  2. 2026-06-14Add dataset card metadata for v45 bridge mix11a3fb7746 B
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  3. 2026-06-14Add v45 v44 OpenThaiEval bridge SFT mix08cae03560 B
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  4. 2026-06-14initial commite7904e60 B
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Used by abliterated models none yet

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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
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Repository

FILE .gitattributes FILE manifest.json FILE README.md FILE train.jsonl

File contents live on Hugging Face. Click a file or folder to open it there.

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("Jnx03/kanitakorn-deepseek-v45-v44-openthaieval-bridge-mix")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Jnx03/kanitakorn-deepseek-v45-v44-openthaieval-bridge-mix", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Jnx03/kanitakorn-deepseek-v45-v44-openthaieval-bridge-mix
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