Datasets:
mirror from youngryankim/superskillret-index
Browse files- .gitattributes +1 -0
- README.md +37 -0
- VERSION +1 -0
- skill_embeddings.npy +3 -0
- skill_metadata.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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skill_metadata.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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tags:
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- embeddings
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- skill-retrieval
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- claude-code
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---
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# superskillret prebuilt index
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Prebuilt embedding index for the [superskillret](../superskillret) Claude Code plugin.
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- **Version:** 1
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- **Corpus:** [`ThakiCloud/SKILLRET`](https://huggingface.co/datasets/ThakiCloud/SKILLRET) (`train+test`)
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- **Encoder:** [`ThakiCloud/SkillRet-Embedding-0.6B`](https://huggingface.co/ThakiCloud/SkillRet-Embedding-0.6B)
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- **Skills indexed:** 16783
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- **Embedding dim:** 1024
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- **Normalized:** yes (inner product = cosine similarity)
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## Files
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| File | Description |
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|---|---|
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| `skill_embeddings.npy` | FP16 numpy array of shape `(16783, 1024)` |
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| `skill_metadata.jsonl` | one JSON record per row, aligned with embeddings (includes `name`, `description`, `body`, `source_url`) |
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| `VERSION` | integer version tag; bumped when the corpus or encoder changes |
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## Usage
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(repo_id="youngryankim/superskillret-index",
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repo_type="dataset",
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local_dir="cache/")
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```
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Downstream consumers should check `VERSION` against their cached copy before reusing local files.
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VERSION
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skill_embeddings.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:523b05b4028bcec467776d08eb46224b319928c60fbb93ec3e8f7be9fb78bff4
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size 34371712
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skill_metadata.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:886eaa13d6e1718283510b9599da5ebe1e3f69f35e7991a85a35c124e09fd480
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size 159196334
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