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Kimi-K3 DSpark Draft · MXFP4 — training data

Training data of ZhuoBohang-AMD/Kimi-K3-Draft-mxfp4, used unchanged for all three epochs (57,849 steps) of its from-scratch MXFP4 run. Every final assistant answer was generated by Kimi-K3 itself. This is the same file as the final-stage data of the BF16 DSpark draft.

file rows size sha256
data/train.jsonl 2,468,462 24.4 GB 0b584f2bcc800142cff81bdaf02e22c3a048cf4e0ca6b0711aea73166bb82a2c

Sources

Every row comes from one of three datasets. Each takes prompts from public datasets and replaces every answer with a Kimi-K3 generation (revision a590ce0, ATOM on MI355X, greedy, verified token-for-token).

Image-bearing rows were removed, multilingual rows thinned, and prompts deduplicated so that a complete 32768-window answer replaces an earlier truncated one. The result was shuffled with seed 20260913.

Composition

category share
multilingual (it, fr, ja, de, es) 36.74%
chat 17.04%
STEM 14.14%
kimi-mtp 12.12%
code, incl. OpenCodeInstruct 10.24%
aya 5.87%
math 3.85%

The per-row category is in source; rows from the kimi-mtp main file have none.

Format

{"conversations": [
  {"role": "user", "content": "..."},
  {"role": "assistant", "reasoning_content": "...", "content": "..."}
], "source": "chat"}

The final assistant turn is the distillation target. reasoning_content is Kimi-K3's thinking channel.

Training use

With the Lumen-RL example at a 32768 window, 2,468,457 rows survive preprocessing. The last 128 are held out for eval, which gives 19,283 steps per epoch at global batch 128, or 57,849 for three epochs.

License

other. Rows keep their upstream licenses: Apache-2.0 for the three upstream datasets, aya and kimi-mtp, and CC-BY-4.0 for the Nemotron and OpenCodeInstruct prompts. Answers are Kimi-K3 output under the Kimi-K3 license.

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