Dataset card
Browse files
README.md
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# EditHero data
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EditHero is a benchmark for long-horizon, part-level 3D editing. Each chain starts from a textured, part-segmented host
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applies a sequence of edits (add, remove, replace, retexture), each with a natural-language instruction and
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457 chains, 2,755 edits, 3,212 states, 252 host objects
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Paper and project page: https://alaya-lab.github.io/EditHero/. Code (data engine, rebuild,
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https://github.com/AlayaLab/EditHero.
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## Browse
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The dataset viewer above shows every edit (2,755 rows): chain, turn, operation, the cond view of the state before and
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edit, the mask of the edited parts in that view, and the instruction. The same table is in `preview/*.parquet`:
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```python
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from datasets import load_dataset
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## Download
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```bash
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huggingface-cli download AlayaLab/EditHero --repo-type dataset --local-dir EditHero
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huggingface-cli download AlayaLab/EditHero --repo-type dataset --local-dir EditHero --include "data/renders/*" "data/part_masks/*" "data/*.json"
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```
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## Layout
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| Path | Contents |
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| `data/annotations/assembly/A/<chain>/` | Every intermediate file of the 97 family-A chains that assemble a host from its own parts: planner input (`parts.json`), assembly plan (`plan.json`), annotator brief, Qwen draft, agent revision, left/right check, relational rewrite and Qwen check of the instructions (shipped as `data/annotations/assembly.tar`). The pipeline and its prompts are in the code repository (`part_assembly/annotate/`) |
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| `ATTRIBUTION.csv` | Every source object: uid, source, title, author, URL, license, chains that use it |
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checking the result from angles the method never saw.
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## Rebuild and render
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The states and renders are included, so nothing has to be rebuilt to use the data. To regenerate a chain from its recipe and verify
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it with the code repository:
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```bash
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python part_assembly/tools/assemble.py --pv-root data/parts/partverse_xl --hy3d-root data/parts/hy3d \
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--chain data/recipes/A/1a3267df_s0 --out out/A_1a3267df_s0
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# PASS A/1a3267df_s0 (verified vs checks.json)
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```
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`instruction_original`) by the rules in the code repository's `docs/INSTRUCTIONS.md`, and reviewed by us.
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## Licenses
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# EditHero data
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EditHero is a benchmark for long-horizon, part-level 3D editing. Each chain starts from a textured, part-segmented host
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object and applies a sequence of edits (add, remove, replace, retexture), each with a natural-language instruction and
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an exact target state. 457 chains, 2,755 edits, 3,212 states, 252 host objects, in six families: A (additions), P (replacements),
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R (removals), M (material changes), G (mixed geometry edits) and X (geometry and material edits mixed).
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Paper and project page: https://alaya-lab.github.io/EditHero/. Code (data engine, rebuild, rendering, annotation):
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https://github.com/AlayaLab/EditHero.
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## What is in a chain
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For every turn: the instruction (English and Chinese), the 3D state after the turn (GLB), renders of that state from
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four fixed views, and masks of the parts the turn edited. For the chain: the recipe that rebuilds every state exactly
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from the parts, and the source objects with their licenses.
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An editing method gets the instruction and, if it takes an image, the `cond` view (view 0) of the target state. The
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three `heldout` views are for checking the result from angles the method never saw.
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## Browse
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The dataset viewer above shows every edit (2,755 rows): chain, turn, operation, the cond view of the state before and
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after the edit, the mask of the edited parts in that view, and the instruction. The same table is in `preview/*.parquet`:
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```python
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from datasets import load_dataset
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## Download
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The index files and captions are plain files; everything else comes as uncompressed tars, one per chain family
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(A, G, M, P, R, X), one per part source and one for the annotation files. Extract them in the same folder; the tars
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recreate the `data/` layout below.
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```bash
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huggingface-cli download AlayaLab/EditHero --repo-type dataset --local-dir EditHero
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huggingface-cli download AlayaLab/EditHero --repo-type dataset --local-dir EditHero --include "data/renders/*" "data/part_masks/*" "data/*.json"
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```
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## Layout
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| Path | Contents |
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| `data/annotations/assembly/A/<chain>/` | Every intermediate file of the 97 family-A chains that assemble a host from its own parts: planner input (`parts.json`), assembly plan (`plan.json`), annotator brief, Qwen draft, agent revision, left/right check, relational rewrite and Qwen check of the instructions (shipped as `data/annotations/assembly.tar`). The pipeline and its prompts are in the code repository (`part_assembly/annotate/`) |
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| `ATTRIBUTION.csv` | Every source object: uid, source, title, author, URL, license, chains that use it |
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## Rebuild, render, build new chains
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Everything below uses the code repository (https://github.com/AlayaLab/EditHero).
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- **Rebuild and verify.** `bash jobs/rebuild_all.sh EditHero/data out/` regenerates every state from its recipe and checks
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it node by node (vertex count, sum of |v|, texture hashes) against `checks.json`.
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- **Render.** `scripts/render_state.py` renders any state, or your own edited GLB, with a chain's four-view rig, exactly
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like the renders here. All renders were made with [blender_kit](https://github.com/AuroraRyan0301/Blender-Visualization-Skill)
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(Blender 4.2, Cycles). If it saves you an afternoon of arguing with Blender, a ⭐ on it would make its author's day.
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- **Build new chains.** The data engine builds chains on any part-segmented host, with the part library and the captions
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of this dataset: `docs/DATA_ENGINE.md` in the code repository walks through it step by step.
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- **Instructions.** The instructions were rewritten from the engine's template sentences (kept in every recipe record as
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`instruction_original`) by the rules in `docs/INSTRUCTIONS.md`.
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## Licenses
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