Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found xdailydialog-ru.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found xdailydialog-ru.py

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XDailyDialog Russian (xdailydialog-ru)

Russian translation of the XDailyDialog English split, produced with GLM-5.1 via machine translation with human-quality review.

Format

Same format as XDailyDialog. Each line is one dialogue:

utterance1 __eou__ utterance2 __eou__ ... \t topic \t act1 act2 ... \t emotion1 emotion2 ...

Field	Description
`__eou__`	End-of-utterance separator
`topic`	Dialogue topic (integer)
`act`	Dialogue act per utterance: 1=commissive, 2=directive, 3=inform, 4=question
`emotion`	Emotion per utterance: 0=neutral, 1=anger, 2=disgust, 3=fear, 4=happiness, 5=sadness, 6=surprise

Splits

Split	Dialogues	Utterances
train	11,110	83,035
dev	1,037	8,025
test	1,047	7,716

Usage

from datasets import load_dataset

ds = load_dataset("WSHAPER/xdailydialog-ru")

Translation details

Source: XDailyDialog English split
Model: GLM-5.1 (via z.ai API)
Method: Sentence-by-sentence translation with hash-based caching and resumable pipeline
Quality checks: Length ratio validation, language detection, punctuation preservation
Coverage: 98,776 / 98,776 utterances translated (100%)

Label mapping

To map to 0-indexed labels (e.g., for training):

act_map = {1: 0, 2: 1, 3: 2, 4: 3}  # commissive, directive, inform, question

Citation

@inproceedings{ye-etal-2023-xdailydialog,
  title = {XDailyDialog: A Large-Scale Multilingual Dialogue Dataset},
  author = {Ye, Jiabei and others},
  booktitle = {Proceedings of ACL},
  year = {2023}
}

License

Apache-2.0 (matching XDailyDialog)

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Total file size:

11.6 MB