Automatic Grading Datasets Without Labels
Collection
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Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found D_Rice_Chem.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 1029, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, 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 D_Rice_Chem.pyNeed 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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Check out the documentation for more information.
D_Rice_Chem
RiceChem is a dataset derived from a college-level chemistry course at Rice University, designed for Automated Long Answer Grading (ALAG). It features 4 exam questions (Q1–Q4), 27 rubric items, and 1,264 graded student responses, with an average response length of 120 words — significantly longer than typical short answer grading datasets.
This version is prepared for use with the S-GRADES benchmark. It includes separate train and test splits for each question (Q1–Q4), with ground truth labels removed from the test split to prevent leakage during evaluation.
Files
| Folder | Description |
|---|---|
Q1/ |
Train and test splits for Question 1 |
Q2/ |
Train and test splits for Question 2 |
Q3/ |
Train and test splits for Question 3 |
Q4/ |
Train and test splits for Question 4 |
Original Dataset
Citation
If you use this dataset, please cite the original authors:
@inproceedings{sonkar2024automated,
title={Automated long answer grading with ricechem dataset},
author={Sonkar, Shashank and Ni, Kangqi and Tran Lu, Lesa and Kincaid, Kristi and Hutchinson, John S and Baraniuk, Richard G},
booktitle={International Conference on Artificial Intelligence in Education},
pages={163--176},
year={2024},
organization={Springer}
}
If used as part of S-GRADES, also cite:
@inproceedings{seuti2026sgrades,
title={S-GRADES: Studying Generalization of Student Response Assessments in Diverse Evaluative Settings},
author={Seuti, Tasfia and Ray Choudhury, Sagnik},
booktitle={Proceedings of the 15th International Conference on Language Resources and Evaluation (LREC 2026)},
year={2026}
}
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