| --- |
| pretty_name: "LUT-SLM — Interpreter Corpus & Teacher Caches" |
| license: other |
| language: |
| - en |
| task_categories: |
| - text-generation |
| - text-classification |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - color-grading |
| - lut |
| - instruction-following |
| - routing |
| - refusal |
| - captioning |
| - synthetic |
| --- |
| |
| # LUT-SLM — Interpreter Corpus & Teacher Caches |
|
|
| Training data and teacher-LLM caches for the **Stage-1 interpreter/router** of the LUT-SLM project |
| (the model itself: **[`ericrcwu/LUT_SLM_interpreter`](https://huggingface.co/ericrcwu/LUT_SLM_interpreter)**). |
| It supplies the *(free-text request → route + attribute spec)* supervision that teaches the router to |
| choose **`grade`** / **`clarify`** / **`refuse`** for a photo-editing instruction. |
|
|
| This is a **companion** to the source corpus |
| **[`ericrcwu/LUT_SLM`](https://huggingface.co/datasets/ericrcwu/LUT_SLM)**: the grade rows here are |
| teacher captions of that corpus's real, measured LUTs, and every row is stamped with its source LUT's |
| leakage-safe `split_unit_id` so no near-duplicate straddles the train/eval boundary. |
|
|
| ## Files |
|
|
| ``` |
| data/ |
| ├── interpreter/ |
| │ ├── interpreter_rows.jsonl # UNIFIED interpreter corpus (the training target) |
| │ └── interpreter_corpus_manifest.json # counts + provenance for the unified corpus |
| └── active_sft/ |
| ├── caption_rows.jsonl # teacher captions of real LUTs -> grade rows |
| ├── caption_cache.jsonl # raw teacher caption generations (resume cache) |
| ├── caption_gen_manifest.json # caption run manifest |
| ├── route_supplement_rows.jsonl # clarify + out_of_gamut supplement rows |
| ├── route_supplement_cache.jsonl # raw teacher generations for the supplement |
| └── route_supplement_manifest.json # supplement run manifest |
| ``` |
|
|
| ## The unified corpus (`interpreter_rows.jsonl`) |
| |
| `interpreter_corpus_version: interpreter_v1` — built by `build_interpreter_corpus.py`, which joins the |
| grade captions, the refuse corpus, and the clarify supplement, stamping each with the source LUT's |
| `split_unit_id`. |
|
|
| | | | |
| |---|---| |
| | Total rows | **15,077** | |
| | By route | grade **13,805** · refuse **772** · clarify **500** | |
| | Refuse kinds | out_of_scope **272** · out_of_gamut **500** | |
| | Source families | caption **13,805** · unsupported_teacher **1,272** | |
| | Distinct split units | 2,869 | |
| | Caption styles (×2,761 each) | `concept`, `literal`, `metaphor`, `mood`, `slang` | |
| |
| The 13,805 grade rows are 2,761 real LUTs each captioned in **5 stylistic registers** (concept / |
| literal / metaphor / mood / slang), so the router sees the same underlying edit phrased many ways. The |
| refuse rows reuse the `unsupported` teacher corpus (edits a global LUT cannot express); the clarify / |
| `out_of_gamut` rows are an additive supplement validated by absence-of-direction cues. |
| |
| ## How captions are made |
| |
| Grade captions are **synthetic and behavior-grounded**: a teacher LLM (Claude) is shown a real LUT's |
| *measured* behavior (the CIEDE2000/Lab delta vector from the source corpus) and writes a natural |
| request that describes it, cross-checked so the phrasing matches the measured direction. See the |
| [`LUT_SLM`](https://huggingface.co/datasets/ericrcwu/LUT_SLM) card for the full measurement + |
| teacher/judge methodology. The `*_cache.jsonl` files are the raw resume-safe generation logs behind |
| the curated `*_rows.jsonl`. |
|
|
| ## Intended use |
|
|
| - Train / evaluate the Stage-1 interpreter as a **router** (grade / clarify / refuse) over free-text |
| color-editing requests. |
| - Study instruction phrasing vs. routing robustness across the 5 caption styles. |
|
|
| ## Licensing & provenance |
|
|
| `license: other`. These rows are teacher-LLM text derived from the mixed-provenance |
| [`LUT_SLM`](https://huggingface.co/datasets/ericrcwu/LUT_SLM) corpus, some of whose sources are |
| **personal-use / non-redistribution** (see that dataset's licensing section). This repository makes |
| **no license claim** over the underlying content. Research use; verify source terms before any |
| redistribution or commercial use. |
|
|
