datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CodonTranslator-data
CodonTranslator Data
This repository contains the final public training-data release used for CodonTranslator.
Contents
train/: representative-only training shards
val/: representative-only validation shards
test/: representative-only held-out test shards
embeddings_v2/: precomputed species conditioning embeddings used in training
_work/final_representative_counts.json: final released split sizes
_work/split_report.json: split audit report… See the full description on the dataset page: https://huggingface.co/datasets/alegendaryfish/CodonTranslator-data.Organic-Reasoning-195k
Organic-CoT: High-Fidelity Organic Chain-of-Thought & Deep Logical Reasoning Dataset
Reject mechanical replies. Replicate expert-level "Organic Thinking" and high-fidelity knowledge.
Deeply inspired by the Google Gemini Chain-of-Thought format, this dataset uses bilingual, high-precision synthetic SFT data to teach models how to perform "trial-and-error, reflection, and strategic planning" like human experts, rather than outputting rigid lists of steps.
Does Size… See the full description on the dataset page: https://huggingface.co/datasets/CodonProject/Organic-Reasoning-195k.TinySFT
TinySFT
TinySFT contains 848,063 supervised fine-tuning samples for SFT of small models. Each sample includes a system message, preserves the native tool-calling structure, and every assistant turn carries a reasoning_effort label (none / low / high / max) indicating how much thinking that turn should require.
The dataset has 848,063 rows / 980,750 assistant turns / 1 parquet file, about 1.4 GiB in total. Rows are globally shuffled; each file is a random sample of the full… See the full description on the dataset page: https://huggingface.co/datasets/CodonProject/TinySFT.