unjustify/minestudio-gemma4-26b-a4b-trajectory-lora
Image-Text-to-Text • Updated • 58
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 49, in _split_generators
import h5py
ModuleNotFoundError: No module named 'h5py'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
该公开数据集包含 768 道经过题目审核、动作规范化和接纳入库的 Minecraft 视觉动作轨迹训练样本。 本版本合并原有 237 条和新增 531 条;原有文件继续保留,便于复现实验。
| 题型 | 数量 | 输入图 | 输出动作块 |
|---|---|---|---|
| 演示优化 | 219 | 4 | 3 |
| 图像序列反推动作 | 228 | 5 | 4 |
| 历史序列预测未来动作 | 138 | 4 | 1 |
| 单帧意图生成动作 | 183 | 1 | 1 |
| 合计 | 768 | - | - |
主文件 minestudio-trajectory-sft-768.h5 使用 minestudio_trajectory_sft_v1 格式。每个样本内嵌题面 JSON、
最终答案 JSON 和原始 JPEG 字节,下载后不依赖单独的图片目录。
动作块每个分号对应一个 50ms tick。过去区间重建题公开由相邻图像间隔确定的 tick 数;未来规划题 不向模型公开参考答案长度,而是要求模型根据动作类型自行选择合适长度。短操作保持简洁,持续移动、 挖掘、攻击、拉弓、进食或使用可以达到 60 tick,现有 50/60 tick 参考动作均原样保留。
assistant 监督目标采用 action_first_reason_optional_v1:首行是可独立解析并立即执行的 JSON 动作
数组,下一行以 Reason: 开始简述视觉依据、意图和时长选择。推理服务可以在动作数组闭合后执行,
并根据延迟预算截断后方理由。非 GUI 鼠标微动集中到最近图像边界;GUI 保留点击顺序和点击落点。
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="unjustify/minestudio-trajectory-sft-237",
repo_type="dataset",
filename="minestudio-trajectory-sft-768.h5",
local_dir="runs/datasets",
)
print(path)
SHA256 30845ae3aee73122a213984714a86f196a837b6205f08309f7f8ebd3e099e2c9 minestudio-trajectory-sft-768.h5