Add data card (card only, data files are private)

README.md

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+---
+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.