Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 90, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6319, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: struct<manifests: list<item: struct<annotations: struct<io.containerd.image.name: string, org.opencontainers.image.ref.name: string>, digest: string, mediaType: string, size: int64>>, mediaType: string, schemaVersion: int64> vs list<item: struct<Config: string, LayerSources: struct<sha256:010501db42b8ee90022912a349bfea33a629a7adef4845683c9d34c6122d01ca: struct<digest: string, mediaType: string, size: int64>, sha256:15ee6ef2f918828d3df20ddf9d267e204bb796759fc761cde69811f1b14b6d5f: struct<digest: string, mediaType: string, size: int64>, sha256:21f59bbf1a0dc5d8cf6c291ea7128b40d8f579745bc58522e5f54324128e4168: struct<digest: string, mediaType: string, size: int64>, sha256:2b07521718ba824cb3a6f781aa33ff0bffc90808bd4295844a6a0a944906c907: struct<digest: string, mediaType: string, size: int64>, sha256:3735ed714f041af912a16ba9c3cb03aae66c32e353cc8397a1345006940fd0b8: struct<digest: string, mediaType: string, size: int64>, sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef: struct<digest: string, mediaType: string, size: int64>, sha256:65c636ce09f299ba8ea7157c8d126dfd5b115fa7bbc5d634a91b34786958546e: struct<digest: string, mediaType: string, size: int64>, sha256:776f0d4a680c68d3a72713944bb5af9932ed04d5c36aeb4c94f2c7c2df422166: struct<digest: string, mediaType: string, size: int64>, sha256:d28ce378b094d9947e2c16df601a2788a2abbe4e1468dea8bb28f3e949c9eb04: struct<digest: string, mediaType: string, size: int64>>, Layers: list<item: string>, RepoTags: list<item: string>>>
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
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LeHome Docker Expert Mixture
This folder is independent from lehome-challenge. The challenge repo is only
used as a local source for checkpoints, dataset metadata, and evaluation.
Layout
Before building the Docker image, this folder should contain:
docker/
ckpts/
classifier.pt
act_top_long/
act_top_short/
act_pant_long/
act_pant_short/
dataset_meta/
top_long_merged/meta/
top_short_merged/meta/
pant_long_merged/meta/
pant_short_merged/meta/
1. Build And Run
cd docker
#(optional) docker build -t lehome-expert-mixture:latest .
docker run --rm --gpus all -p 8080:8080 lehome-expert-mixture:latest
For a debug run that bypasses the classifier:
docker run --rm --gpus all -p 8080:8080 \
-e LEHOME_FORCE_CATEGORY=top_long \
lehome-expert-mixture:latest
2. Evaluate From The Challenge Repo
In another terminal(client):
cd lehome-challenge
.venv/bin/python -m scripts.eval \
--policy_type docker \
--docker_url http://localhost:8080 \
--garment_type top_long \
--num_episodes 5 \
--device cpu \
--headless \
--enable_cameras
Repeat --garment_type for top_short, pant_long, and pant_short.
The evaluator uses that argument to choose test garments; the policy server
does not receive the label.
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