The dataset viewer is not available for this subset.
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/webdataset/webdataset.py", line 88, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(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<sha256:17d7e2458ac57443ac26c65c6ef81845cfa66133f5544958d483a892ef4109e6: struct<digest: string, mediaType: string, size: int64>, sha256:2365cf788a7133aebdc55c35c224661e8661edc8cc057aa975d20720930cd588: struct<digest: string, mediaType: string, size: int64>, sha256:270a1170e7e398434ff1b31e17e233f7d7b71aa99a40473615860068e86720af: struct<digest: string, mediaType: string, size: int64>, sha256:30396e96ff5927ccf2363cd93850c03ced9868bfb00524c5d9d90868b048e487: struct<digest: string, mediaType: string, size: int64>, sha256:377322c8ea2036e0984eb5db39535ca46f07c9da60901a8cb22e0beece71c3aa: struct<digest: string, mediaType: string, size: int64>, sha256:3ac9247b0a9ee6bcad8965faeeb002ffaf01e06ddfa67fdab113d0a7c5bee6f2: struct<digest: string, mediaType: string, size: int64>, sha256:3fa02d76941faf0cdaba77baf42bf0aa40a3f447def88867dcb49754108ab244: struct<digest: string, mediaType: string, size: int64>, sha256:490584e013545feae48d2e003e8a5d86349751283c27acf5a3b2ea650243e5cb: struct<digest: string, mediaType: string, size: int64>, sha256:490ffa60525ed7cbb7e2957e2ee06ef4fb42d53f10f4c0c8f3000305c45d6f52: struct<digest: string, mediaType: string, size: int64>, sha256:52e4673d3b6db9d16178b137edb375e764d118a936e5062f63eba1b9db472d9f: struct<digest: string, mediaType: string, size: int64>, sha256:583f1d6040fc90a1380cb4d11d46b78bbbd4ad7d6274b9656ab9832ef7ba6342: struct<digest: string, mediaType: string, size: int64>, sha256:5d95b9c40483dc48a99fd52c9e57995d17106ff785543bf4b810511e844e51b0: struct<digest: string, mediaType: string, size: int64>, sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef: struct<digest: string, mediaType: string, size: int64>, sha256:6020d84069cf575521faca653d2817e2195b8233b8c4e2d7bc65f3296296c2bb: struct<digest: string, mediaType: string, size: int64>, sha256:651d071653634147ff56aba7024186b6feb3598d9f4f082f16fcd22dbe861bfc: struct<digest: string, mediaType: string, size: int64>, sha256:658d6aa768c7109a1eae4ced9148d9f70726c6afc9bb6bdfa8abf3f0eee522a8: struct<digest: string, mediaType: string, size: int64>, sha256:677a4896cc77b5de4f74b41789b066ea90de0da73fbf4d63a359eda5e0f0852b: struct<digest: string, mediaType: string, size: int64>, sha256:6db0f7c3ab1b6090bd15b829c8265a26d4498e8d30031ba617c1f8273b4bc77f: struct<digest: string, mediaType: string, size: int64>, sha256:70414f72f6cc7ffb9d9c6ecb69e265114cf04b53ea57cc24e86c3233151242a6: struct<digest: string, mediaType: string, size: int64>, sha256:70a158f70e3777a129c15ffe51399bb6c226218c08ff6819948b9b1f26a46277: struct<digest: string, mediaType: string, size: int64>, sha256:7215ae9b9700d9530f70dea6f546b7ebdaac0098e4436b4c99e3e8063170c274: struct<digest: string, mediaType: string, size: int64>, sha256:745bbaea87e07ed34c710ee74bb071009b71ce24e447be2281576d277912c9f8: struct<digest: string, mediaType: string, size: int64>, sha256:981a144d9fa2efffdbdfbdcfd3881dccb4fbf07867d4fa326a386126ca11b50f: struct<digest: string, mediaType: string, size: int64>, sha256:996cbe581c578528954b6a65e4c7bd35865c4dbedecdcb3e629d02771656cd46: struct<digest: string, mediaType: string, size: int64>, sha256:9bb0510c7b4b74b056648f24e0a55c26f7521a1a1b766250a0776e14ce9d93f6: struct<digest: string, mediaType: string, size: int64>, sha256:a5c4681759b676b64852de84cac07929bcf5b42ee27fbd93b79bbc674f931b40: struct<digest: string, mediaType: string, size: int64>, sha256:acbc0d2ed199232b8f482ce41318ccd603e3c9a7731d39f0b08b88b253a6ca67: struct<digest: string, mediaType: string, size: int64>, sha256:b01127e61f0aa5098ed035fb0ad36302e1a2f542579032065571089d15756353: struct<digest: string, mediaType: string, size: int64>, sha256:b11265a17891d200c0d8a1323315c3e39d4ef4e7e5a9f7f8424636017d29ae85: struct<digest: string, mediaType: string, size: int64>, sha256:bbf8635ab21c0090a7d843ba6e3d2ea3e3a78abd0f5acf6c38aaa31cb71685a5: struct<digest: string, mediaType: string, size: int64>, sha256:bdf0279415f5bae070dea67d7420e062baeadaa3612ff9cd66bb0f9dfc4130f9: struct<digest: string, mediaType: string, size: int64>, sha256:be9215d0c582b981cba5ee5872dd20b3601c304257759463fb74cc694e5ab4c5: struct<digest: string, mediaType: string, size: int64>, sha256:c657e64b82c0ff1cfcd041b85ebb879b29597a09713d7372ac603a07e3c5c0d9: struct<digest: string, mediaType: string, size: int64>, sha256:c7f750892d0b4688d25d39533bb5c8e3407152b83687d6cfade7894e162b7bd5: struct<digest: string, mediaType: string, size: int64>, sha256:cb395f276e984728ca05fdee4e1dc203e1310a9e943a2d16d7aa87e5b2cf754b: struct<digest: string, mediaType: string, size: int64>, sha256:d2a8b69bd3b1482d960f303b6dd3bc7a69c02f69abfb297d13168bd35f152c62: struct<digest: string, mediaType: string, size: int64>, sha256:d2f11d649b73c03f947fb3f9f45b1ac982ad3b46b4d312e047169f7ce7e64dae: struct<digest: string, mediaType: string, size: int64>, sha256:d379a86f8afdd25d617ad70ca89ed00a6554a38dec0bfd4b503c624387d8439e: struct<digest: string, mediaType: string, size: int64>, sha256:df097bab87be5355ecf8f1c8ab3309289baaa56ad750b332d62ef5b885c92503: struct<digest: string, mediaType: string, size: int64>, sha256:e01d46c29ef85005d6909e40468554c3d9b1080d0265a414f78ce9a8f92c20d6: struct<digest: string, mediaType: string, size: int64>, sha256:e994501eb8fff0bc1d1984542466455c9f712909b17e87e9b0b8b988bd3bd93c: struct<digest: string, mediaType: string, size: int64>, sha256:eb0143fcce68bd06a29bf314125d30f2a1f44d606fc419e7a54ab602bc26b2d0: struct<digest: string, mediaType: string, size: int64>, sha256:ef64b5f6bf68ea623392ec0c6a206da7e1e6dbcc061aea6b35e135115e00603b: struct<digest: string, mediaType: string, size: int64>, sha256:f7ad2f74642b82570fe0b57fa1454e085bdbacf6d4c206199d88091e28924168: struct<digest: string, mediaType: string, size: int64>, sha256:fb456a9e7760e7e4481d3d9eddee3ef62358753326d669c3efe6b0cc254ab9c3: 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 68, 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.
e2l-train Docker image
Prebuilt Stage-2 training image for Ch1nyzzz/e2-learning.
Code and environment are both inside the image. You do not need to git clone to train.
Contents:
/workspace/e2-learning: this repository (scripts, configs,.env.example)/opt/verl-agent: langfengQ/verl-agent at20bd331plus the stage-2 patch- env A (system Python 3.12): torch 2.8.0 / vllm 0.11.0 / flash-attn 2.8.3
- env B (
/opt/venvs/rwml, Python 3.10): torch 2.6.0 / vllm 0.8.3 / verl 0.4.1
Tag after load: e2l-train:latest (~46.6GB uncompressed, ~21GB this tarball).
Working directory: /workspace/e2-learning.
Load
hf download erv1n/e2l-train-image --repo-type dataset --local-dir ./e2l-train-image
cd e2l-train-image
sha256sum -c e2l-train.tar.gz.sha256
gunzip -c e2l-train.tar.gz | docker load
Then follow the GitHub playbook (source of truth, may be newer than the copy inside the image): https://github.com/Ch1nyzzz/e2-learning/blob/main/docs/playbook.md
Create a host work directory, docker run with those mounts, pull models, start training. Do not bind-mount a git checkout over /workspace/e2-learning or you will hide the baked-in code.
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