Crownelius/Kimi-K3-CoT-Library

Kimi K3 — CoT Library

A maintained mirror of publicly-available Kimi K3 chain-of-thought datasets on Hugging Face — content-verified, deduplicated, and attributed to their original authors.

Dataset Viewer | Parquet

// what this is

A maintained library — a community mirror of publicly-available Kimi K3 CoT datasets, aggregated, validity-filtered and content-verified, with per-row source attribution in first_source_dataset. It is not Crownelius' own data — every row belongs to the uploader credited below. Only two genuine public Kimi **K3** datasets exist at the time of writing, so this library is deliberately small. Verified K2.6/K2.7 Kimi CoT sets were found but are **out of scope** for a K3 library and were not merged in.

1,609
verified rows

2
contributing datasets

10
rejected in verification

How a dataset gets in

Every candidate is downloaded and inspected — never judged by its name:

1. Readable — it actually downloads and parses.
2. Structurally valid — rows are QA / chain-of-thought / agent traces with a real question and a substantive response.
3. Right model — content or an in-row model field ties it to Kimi K3; sets dominated by a rival model are rejected.
4. Not a duplicate — dedup by sha256(row_json) and a payload fingerprint that ignores metadata wrappers.

📜  Citations & attribution — 2 contributing datasets _{(please cite the original authors, not this mirror)}

Rows	Original author & dataset	License
1,604	greghavens — kimi-k3-coding-and-debugging-traces	cc-by-4.0
5	AletheiaResearch — Kimi-K3-Codex	see upstream

total 1,609 content-verified rows

🚫  Rejected in verification — 10 datasets _{(every one linked so you can check the call)}

Verdict	Dataset	Why
UNVERIFIABLE	Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	Jackrong/Kimi-K2.5-Reasoning-1M-Cleaned	could not be downloaded or parsed (file:stats.json)
UNVERIFIABLE	DEX9mm/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	OctoMed/KIMI-K2.5-Reasoning	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	thongfamilynguyen1126/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	SicariusSicariiStuff/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	JBrightmanAI/Kimi-K2.5-Reasoning-1M-Cleaned	could not be downloaded or parsed (file:stats.json)
UNVERIFIABLE	VocaborSilentii/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	Seelee789/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)
UNVERIFIABLE	Nobody05/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset	could not be downloaded or parsed (parse_err:ArrowInvalid)

Provenance & honesty

Every retained row is content-verified as genuine Kimi K3-family data. That provenance is source-asserted and content-verified — it cannot be cryptographically certified by Moonshot AI. No method exists to prove a block of text came from a specific model. What is guaranteed is narrower and checkable: keyword matches are removed, every row carries a real question and response, cross-model contamination is rejected, and everything excluded is listed above with a reason.

Schema

Column	Type	Meaning
row_hash	string	sha256(row_json) — de-duplication key
first_source_dataset	string	upstream dataset / original author
first_source_config	string	upstream config
first_source_split	string	upstream split
first_source_row_index	int64	index within the upstream source
seen_count	int64	times this canonical row was seen
row_json	string	the full source row as JSON

Loading

from datasets import load_dataset
ds = load_dataset("Crownelius/Kimi-K3-CoT-Library", split="train")

import json
row = json.loads(ds[0]["row_json"])

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_{Maintained mirror · content-verified · all credit to the original uploaders}