Datasets:
Refresh artifact dataset README
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README.md
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- xperience-10m
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- evaluation
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- qwen3-omni
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# Ropedia Xperience-10M Task Suite Artifacts
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This dataset repository stores small derived artifacts for the Ropedia
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Xperience-10M task-suite project: metrics, predictions, manifests, reports,
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figures, website JSON,
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## What To Open First
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| Check evaluation rules | `EVALUATION_PROTOCOL.md` |
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| Inspect single-episode task results | `results/episode_task_suite/summary_report.json` |
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| Inspect 128-episode same-split baselines | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md` |
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| Inspect Qwen3-Omni held-out diagnostic result | `docs/data/omni_finetune_verified_result.json` |
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## Dataset Boundary
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Ropedia/Xperience-10M access terms.
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The implemented public-sample task suite uses one public Xperience-10M sample
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episode. The selected 128-episode Qwen3-Omni
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copy and publishes only public-safe metrics, predictions,
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and audits.
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## Derived Artifacts
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MLP result directories.
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- Audio-ablation summaries and generated chart assets.
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- Public website JSON and figure manifests.
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- A verified
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- 128-episode same-split simple/NN metadata baselines for the same 12 task ids,
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with unsupported markers where raw 128 sensor feature blocks are still needed.
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| HF Space | https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite |
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| Artifact dataset | https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts |
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| Baseline model repo | https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines |
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| Qwen3-Omni LoRA
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| GitHub repo | https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite |
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## Citation
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- xperience-10m
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- evaluation
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- qwen3-omni
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configs:
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- config_name: episode_sample
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data_files:
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- split: public_sample
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path: viewer/episode_windows.jsonl
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---
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# Ropedia Xperience-10M Task Suite Artifacts
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This dataset repository stores small derived artifacts for the Ropedia
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Xperience-10M task-suite project: metrics, predictions, manifests, reports,
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figures, website JSON, public-safe Qwen3-Omni diagnostic outputs, and the
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Cosmos3-Nano future-window compatibility package.
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## What To Open First
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| Check evaluation rules | `EVALUATION_PROTOCOL.md` |
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| Inspect single-episode task results | `results/episode_task_suite/summary_report.json` |
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| Inspect 128-episode same-split baselines | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md` |
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| Inspect final Qwen3-Omni held-out diagnostic result | `docs/data/omni_finetune_verified_result.json` |
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| Compare the current three result versions | `docs/data/omni_model_comparison.json` |
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## Dataset Boundary
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Ropedia/Xperience-10M access terms.
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The implemented public-sample task suite uses one public Xperience-10M sample
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episode. The selected 128-episode Qwen3-Omni final diagnostic result uses a
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gated local dataset copy and publishes only public-safe metrics, predictions,
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manifests, reports, and audits. The public LoRA adapter weights are published
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separately at `cy0307/ropedia-qwen3-omni-lora-128ep`.
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## Derived Artifacts
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MLP result directories.
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- Audio-ablation summaries and generated chart assets.
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- Public website JSON and figure manifests.
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- A final verified Qwen3-Omni diagnostic held-out package for the selected
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96/16/16 episode split, with 99.78% JSON validity and weak action/subtask
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quality documented as the next error-analysis target.
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- A verified Cosmos3-Nano future-window compatibility package for the same
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selected split family.
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- 128-episode same-split simple/NN metadata baselines for the same 12 task ids,
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with unsupported markers where raw 128 sensor feature blocks are still needed.
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| HF Space | https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite |
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| Artifact dataset | https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts |
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| Baseline model repo | https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines |
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| Qwen3-Omni LoRA adapter repo | https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep |
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| GitHub repo | https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite |
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## Citation
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