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data-loader/fivevla-posttrain-caches

FiveVLA post-train 缓存迁移包 这是本项目实际使用的 34 份 FiveVLA 样本缓存,源文件共约 410 MB,压缩包约 20.6 MB。 保留样本编号、顺序、bucket、训练/验证划分;原服务器路径已转换成占位符, 恢复时自动写入新路径,并调整 NumPy 字符串容量以防路径截断。 不含原始图片、驾驶标签、模型权重,也不含 bucket 定义索引。 恢复位置(相对于 FiveVLA 子项目) 用途 buckets_cache/debug-False/hist-1/*.npy 第一阶段,16 份训练 bucket + 1 份验证缓存 buckets_cache/debug-False/hist-4/*.npy 第二阶段 RAM,16 份训练 bucket + 1 份验证缓存 本快照对应 SimLingo expert 配方:dreamer=False、split_seed=98765、路线级 99/1 划分。 dreamer-False 是文件名的布尔标记;这些缓存不包含 Dreamer… See the full description on the dataset page: https://huggingface.co/datasets/data-loader/fivevla-posttrain-caches.

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Created21 October 2026
Last updated at source21 October 2026
fivevlasimlingoautonomous-drivingmetadatareproducibility
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