Create README.md

README.md

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+# D_SciEntSBank
+
+SciEntSBank contains student answers to general science questions for 3rd to 6th grade. The dataset includes both 2-way (correct/incorrect) and 3-way (correct/contradictory/incorrect) classification splits, with separate train and test files for each.
+
+This dataset is prepared for use with the [S-GRADES benchmark](https://sgrades.eng.unt.edu). Test labels are removed for the users to test on their models.
+
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `train_2way.csv` | Training split, 2-way labels |
+| `train_3way.csv` | Training split, 3-way labels |
+| `test_2way.csv` | Test split, 2-way labels |
+| `test_3way.csv` | Test split, 3-way labels |
+
+## Original Dataset
+
+🔗 [SemEval-2013 Task 7 on Kaggle](https://www.kaggle.com/datasets/smiles28/semeval-2013-2-and-3-way)
+
+## Citation
+
+If you use this dataset, please cite the original:
+```bibtex
+@inproceedings{dzikovska2013semeval,
+  title={SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge},
+  author = {Kerneler},
+  year = {2023},
+  howpublished = {\url{https://www.kaggle.com/datasets/smiles28/semeval-2013-2-and-3-way}},
+}
+}
+```
+
+If used as part of S-GRADES, also cite:
+```bibtex
+@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}
+}
+```