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cagataydev/neon-spatial-language-20k

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Hugging Face2026-03-31 更新2026-04-12 收录
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https://hf-mirror.com/datasets/cagataydev/neon-spatial-language-20k
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--- license: mit task_categories: - robotics tags: - neon - vla - humanoid - g1 - action-trajectories size_categories: - 10K<n<100K --- # neon-spatial-language-20k **Spatial language grounding** — 20K episodes of synthetic 14-DoF joint trajectories for Neon VLA training. ## Description Spatial reasoning with relative directions (left, right, above, near) Each episode contains: - `language_instruction`: Natural language task description - `actions`: JSON array of joint position trajectories (T × 14) - `length`: Episode length (timesteps) ## Usage ```python import pyarrow.parquet as pq table = pq.read_table("data.parquet") df = table.to_pandas() print(f"Episodes: {len(df)}, Columns: {list(df.columns)}") ``` ## Part of Neon VLA Training data for [Neon](https://github.com/cagataycali/neon) — open-source Vision-Language-Action model for humanoid whole-body control. Total Neon dataset collection: **160K episodes across 8 datasets (~1.27GB)**
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