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/python3.12/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/json/json.py", line 91, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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.
🌸 TheraMind-Patient-Guidance
TheraMind-Patient-Guidance is a dataset designed to simulate realistic patients for longitudinal psychological counseling scenarios. It provides structured session-level guidance describing the patient’s evolving emotional state, cognitive patterns, therapy progress, and resistance across multiple counseling sessions, enabling a Patient Agent to behave consistently and realistically throughout long-term therapy interactions.
The dataset is synthesized from anonymized counseling reports in the CPsyCounR dataset and processed with large language models to produce standardized patient trajectories for evaluating AI counseling agents. This dataset is part of the TheraMind project.
📄 Paper: https://arxiv.org/abs/2510.25758
💻 Project: https://github.com/Emo-gml/TheraMind
Citation
If you use this dataset, please cite:
@article{hu2025theramind,
title={Theramind: A strategic and adaptive agent for longitudinal psychological counseling},
author={Hu, He and Zhou, Yucheng and Ma, Chiyuan and Wang, Qianning and Zhang, Zheng and Ma, Fei and Cui, Laizhong and Tian, Qi},
journal={arXiv preprint arXiv:2510.25758},
year={2025}
}
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