Datasets:
v1: coser-clean (MIT), mmrole-chat (MIT), character-llm-chat (CC-BY-NC) + README card
Browse files- .gitattributes +2 -0
- README.md +74 -0
- data/character-llm-chat.txt +3 -0
- data/coser-clean.txt +3 -0
- data/mmrole-chat.txt +0 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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data/character-llm-chat.txt filter=lfs diff=lfs merge=lfs -text
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data/coser-clean.txt filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: other
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task_categories:
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- conversational
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- text-generation
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tags:
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- roleplay
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- persona
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- chat
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- character
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- tiny-slm
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---
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# roleplay-slm-mix
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A curated multi-source conversation corpus for training small (sub-1B) language
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models to do persona-consistent roleplay chat. All conversations are normalized to
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a strict `User:` / `Assistant:` turn format with an optional persona/scene header.
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Built for the TinyRole program (byte-level tiny SLMs).
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## Files in this release (v1)
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| File | Source | License | Convs |
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|---|---|---|---|
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| `data/coser-clean.txt` | [Neph0s/CoSER](https://huggingface.co/datasets/Neph0s/CoSER) | MIT | 76,004 |
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| `data/mmrole-chat.txt` | [YanqiDai/MMRole](https://huggingface.co/datasets/YanqiDai/MMRole_dataset) | MIT | 3,900 |
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| `data/character-llm-chat.txt` | [OpenMOSS/character-llm-data](https://huggingface.co/datasets/OpenMOSS-Team/character-llm-data) | **CC-BY-NC-4.0** | 12,929 |
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**`character-llm-chat.txt` is NON-COMMERCIAL (CC-BY-NC-4.0).** It is a separate
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file so the MIT-licensed files stay permissive. Do not use it commercially.
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**Coming in v2:** RoleBench train split (Apache-2.0, ~85 MB — eval test split stays
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out), PIPPA-filtered (Apache-2.0, pending NSFW filter pass).
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**Deliberately excluded (unlicensed — cannot redistribute):** WorryFree scenarios,
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hieunguyenminh/roleplay, AlekseyKorshuk synthetic trio. Used in training but not
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redistributable.
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## Format
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Each conversation is a text block, blocks separated by a blank line:
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```
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[optional persona/scene header line]
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User: <first user turn>
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Assistant: <first assistant turn>
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User: ...
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Assistant: ...
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```
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Persona headers (when present) are a single capitalized line describing the
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character/scene, NOT prefixed with a role.
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## Per-source cleaning
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- **coser-clean**: 771 classic-book characters. Strict User/Assistant alternation
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(merged consecutive same-role turns), name-prefix and stage-direction/asterisk
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stripping, dropped < 4-turn conversations. 305k raw → 76,004 clean.
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- **mmrole-chat**: 85 characters, text-only extraction from the multimodal dataset
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(image references dropped; scene-description user turns retained). MIT.
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- **character-llm-chat**: 9 historical/literary figures (Beethoven, Cleopatra,
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Caesar, Hermione, Newton, Socrates, Spartacus, Voldemort, MLK) via Experience
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Reconstruction (EMNLP 2023). Character role → Assistant, interlocutor → User.
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CC-BY-NC-4.0.
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## Intended use
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Fine-tuning small chat/roleplay models, as the final chat/persona stage of a
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curriculum (grounding → narrative → this mix).
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## Citation
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Cite the original sources (above). Aggregation: TinyRole program, 2026.
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data/character-llm-chat.txt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18d2d5d19f1c3faaaed3b34c06d4a39fd768632c097832e1d8b5aeada19cd191
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size 32524601
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data/coser-clean.txt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9895f0b70a92fb44281e8aad1b06719c3ac67536de1502d1d4d38aac3d529fac
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size 96290388
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data/mmrole-chat.txt
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The diff for this file is too large to render.
See raw diff
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