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- README.md +53 -0
- muse_opb_onpolicy_100k.jsonl +3 -0
.gitattributes
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# Video files - compressed
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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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muse_opb_onpolicy_100k.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- speculative-decoding
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- on-policy
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- open-perfect-blend
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- muse-glimmer
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pretty_name: Muse Glimmer OPB 100K
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size_categories:
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- 100K<n<1M
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---
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# Muse Glimmer OPB 100K
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On-policy OpenPerfectBlend training data used for [DaoCloud/Muse-Glimmer-30B-DSpark](https://huggingface.co/DaoCloud/Muse-Glimmer-30B-DSpark).
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Prompts are sampled from [mlabonne/open-perfectblend](https://huggingface.co/datasets/mlabonne/open-perfectblend), and assistant turns are regenerated on-policy with Muse Glimmer 30B.
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The dataset contains 99,984 successfully generated conversations and 148,900 train-turn rows. Responses were regenerated with Muse Glimmer 30B at four reasoning strengths.
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| Reasoning strength | Conversations | Train-turn rows |
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|---|---:|---:|
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| low | 64,997 | 96,765 |
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| medium | 10,000 | 14,829 |
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| high | 19,991 | 29,957 |
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| xhigh | 4,996 | 7,349 |
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| **Total** | **99,984** | **148,900** |
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## Schema
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| Field | Description |
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|---|---|
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| `id` | Unique train-turn ID |
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| `primary_id` | Source conversation ID |
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| `input_ids` | Tokenized on-policy conversation through the train turn |
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| `loss_mask` | Token-level training mask |
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| `reasoning_strength` | `low`, `medium`, `high`, or `xhigh` |
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Every row has trainable tokens. Row IDs are unique, source conversation sets are disjoint, and generation ordinals are contiguous.
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## File
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```text
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muse_opb_onpolicy_100k.jsonl
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1,646,393,887 bytes
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SHA-256 70d68dff971d1fe00d90a356b1a1eaeac845f9a3cc2069ce525043312444439a
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```
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This release contains tokenized training examples. Use the Muse Glimmer 30B tokenizer when inspecting or converting `input_ids` back to text.
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muse_opb_onpolicy_100k.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:70d68dff971d1fe00d90a356b1a1eaeac845f9a3cc2069ce525043312444439a
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size 1646393887
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