README.md

metadata

license: other
license_name: mixed-per-source
language:
  - pl
  - en
pretty_name: Slayer1B 1.08b Instruct SFT data (card)

Slayer1B 1.08b Instruct – supervised fine-tuning data

Data card for the instruction tuning of Slayer1B 1.08b Instruct, a Polish and English conversational fine-tune of the Slayer1B 1.08b base model.

Status: in preparation. This card lists the sources accepted for the mix and the rules they must pass. The final file list, row counts and checksums will be added here when the mix is built and checked. The data files are kept privately; this repository contains only the card.

Sources accepted for the mix

source	content	language	license	status
clarin-pl/poquad	question answering on Polish Wikipedia passages	PL	CC BY 4.0	accepted
OpenAssistant/oasst2	human-written conversations	EN, PL	Apache-2.0	accepted
CohereLabs/aya_dataset	human-written instructions and answers	PL, EN	Apache-2.0	accepted
NASK-PIB/PLLuM-Align	Polish alignment conversations	PL	CC BY-SA 4.0	accepted (share-alike)
Muse-Glimmer-30B answers	answers generated locally by Muse-Glimmer-30B	PL, EN	Apache-2.0 (model)	accepted, model recorded per row
grounded QA on Wikipedia (4 998 pairs)	answers generated by google/gemma-4-E4B from Wikipedia passages	PL	Apache-2.0 (model), CC BY-SA (Wikipedia)	accepted
model identity and capability answers	regenerated from scratch by Muse-Glimmer or DeepSeek from the Slayer model facts	PL, EN	Muse-Glimmer: Apache-2.0; DeepSeek: exact model id and license recorded per row	candidate, after overlap scan

The human-written part (PoQuAD, OASST2, Aya, PLLuM-Align) is about 63 750 rows and about 8 M tokens with the Slayer v6 tokenizer (estimate).

Rules for every row

1. Generators: answers are written by people or by open-weight models (Muse-Glimmer, DeepSeek, Gemma 4); the generating model is recorded in the manifest for every row. No text written by Claude, GPT or Gemini is used as training data.
2. Hygiene: no personal data, secrets, file paths, IP addresses, machine names or costs in the text.
3. Decontamination: overlap scan against the held-out instruction evaluation set and the base-model evaluation suite before training.
4. Share-alike: rows under CC BY-SA (PLLuM-Align, Wikipedia-based answers) are kept separate in the manifest so the share-alike terms can be honoured.

Not used

Earlier internal sets whose answers or prompts were written by assistants, or whose answers were selected by a frontier model, are excluded.