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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01FRank62Wu /Act2Cap_benchmarkCollected data from GUI-Action-Narrator imagequestion-answeringn<1K0 likes863 downloads1y agoHugging Face02mcp-tool-shop /jam-actions-v0 Dataset Card for jam-actions-v0 (public subset) Version: 0.5.1 — a documentation-only revision of the 0.5.0 record cut. No record, split or eval artifact changed; the card gained the fine-tuning evaluation banner and the "What's in a record" walkthrough, which had been added on Hugging Face and lived nowhere else. Records built: 2026-07-11 Source tag: jam-actions-v0-0.5.0-cut-2026-07-11 (record-content correction release — Bach BWV 846 errata 001 + 002; see RELEASE_NOTES.md… See the full description on the dataset page: https://huggingface.co/datasets/mcp-tool-shop/jam-actions-v0.imagetext-generationn<1K0 likes135 downloads15d agoHugging Face03mikusama99 /cs2-action-inference-test CS2 战术 Action 推理测试集 本测试集用于 WAN I2V 的战术动作定性测试。每个小类只保留 1 张真实比赛 POV 第一帧,以及两种英文文本条件;本版不提供 GT 视频。第一帧来源依据 parse-dem 的 events.csv、game_events.csv 或逐 tick 状态对齐到 opencs2_matches* 视频。 数据约定 共 45 个 case、9 个大类。 每个 case 只有一张 832x480 的 first_frame.png,作为 WAN I2V 条件图;不裁剪或复制 GT clip。首帧优先选择正常持械、水平视角、无遮挡且较开阔的画面。 prompt.txt 是完整英文 prompt,包含首帧可见环境、初始持械状态、画面保持要求和整段唯一动作变化。 chunk_prompts.json 固定包含 5 个英文 prompt,依次描述期望生成视频的 0-1、1-2、2-3、3-4、4-5 秒。 metadata.json… See the full description on the dataset page: https://huggingface.co/datasets/mikusama99/cs2-action-inference-test.imagen<1K0 likes122 downloads1mo agoHugging Face04Eurong2 /actionnet-grasp-cosmosimage1K<n<10K0 likes62 downloads19d agoHugging Face05FORIFOR /franka-lift-sim-top-state9-action8image10K<n<100K0 likes2 downloads5mo agoHugging Face

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