BinaryCorp small train processed

The processed BinaryCorp small train dataset for fine-tuning on the binary code similarity detection. This dataset is used in the paper: "Nova: Generative language models for assembly code with hierarchical attention and contrastive learning" @inproceedings{ jiang2025nova, title={Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning}, author={Nan Jiang and Chengxiao Wang and Kevin Liu and Xiangzhe Xu and Lin Tan and Xiangyu Zhang and Petr Babkin}, booktitle={The Thirteenth International Conference on Learning Representations}, year={2025}} The dataset is originally obtained from paper "jTrans: jump-aware transformer for binary code similarity detection" @inproceedings{10.1145/3533767.3534367, author = {Wang, Hao and Qu, Wenjie and Katz, Gilad and Zhu, Wenyu and Gao, Zeyu and Qiu, Han and Zhuge, Jianwei and Zhang, Chao}, title = {jTrans: jump-aware transformer for binary code similarity detection}, publisher = {Association for Computing Machinery}, url = {https://doi.org/10.1145/3533767.3534367}, doi = {10.1145/3533767.3534367}, booktitle = {Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis}, pages = {1–13}, numpages = {13}, series = {ISSTA 2022}}