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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/python3.14/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 at 20bd331 plus 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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