|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: dedup_C |
|
path: data/dedup_C-* |
|
- split: dup_C |
|
path: data/dup_C-* |
|
- split: dedup_DecomC |
|
path: data/dedup_DecomC-* |
|
- split: dup_DecomC |
|
path: data/dup_DecomC-* |
|
- split: dedup_demiStripped |
|
path: data/dedup_demiStripped-* |
|
- split: dup_demiStripped |
|
path: data/dup_demiStripped-* |
|
- split: no_fun_demiStripped |
|
path: data/no_fun_demiStripped-* |
|
- split: dup_stripped |
|
path: data/dup_stripped-* |
|
- split: dedup_stripped |
|
path: data/dedup_stripped-* |
|
dataset_info: |
|
features: |
|
- name: id |
|
dtype: int64 |
|
- name: docstring_tokens |
|
sequence: string |
|
- name: code_tokens |
|
sequence: string |
|
- name: fun_name |
|
dtype: string |
|
- name: repo |
|
dtype: string |
|
- name: starting |
|
dtype: string |
|
- name: partition |
|
dtype: string |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: dedup_C |
|
num_bytes: 167770495 |
|
num_examples: 79673 |
|
- name: dup_C |
|
num_bytes: 348707539 |
|
num_examples: 214587 |
|
- name: dedup_DecomC |
|
num_bytes: 330052224 |
|
num_examples: 79673 |
|
- name: dup_DecomC |
|
num_bytes: 614158883 |
|
num_examples: 214587 |
|
- name: dedup_demiStripped |
|
num_bytes: 316991021 |
|
num_examples: 79673 |
|
- name: dup_demiStripped |
|
num_bytes: 590234671 |
|
num_examples: 214587 |
|
- name: no_fun_demiStripped |
|
num_bytes: 606914210 |
|
num_examples: 214587 |
|
- name: dup_stripped |
|
num_bytes: 60563000 |
|
num_examples: 14245 |
|
- name: dedup_stripped |
|
num_bytes: 40485701 |
|
num_examples: 7826 |
|
download_size: 592873091 |
|
dataset_size: 3075877744 |
|
license: apache-2.0 |
|
task_categories: |
|
- summarization |
|
tags: |
|
- code |
|
- Reverse Engineering |
|
- Binary |
|
- Code Summarization |
|
size_categories: |
|
- 100K<n<1M |
|
--- |
|
# Dataset Card for "Capybara" |
|
|
|
## Dataset Description |
|
|
|
- **Repository: https://github.com/AISE-TUDelft/Capybara-BinT5** |
|
- **Paper: https://huggingface.co/papers/2301.01701** |
|
- **Point of Contact: https://huggingface.co/aalkaswan** |
|
- **Raw Data: https://zenodo.org/records/7229809** |
|
|
|
### Dataset Summary |
|
|
|
Dataset used to train [BinT5](https://huggingface.co/collections/AISE-TUDelft/bint5-65bd006a8c90bd5c97485244). Please refer to the paper for more information. |
|
|
|
|
|
### Citation Information |
|
|
|
``` |
|
@inproceedings{alkaswan2023extending, |
|
title={Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries}, |
|
author={Al-Kaswan, Ali and Ahmed, Toufique and Izadi, Maliheh and Sawant, Anand Ashok and Devanbu, Premkumar and van Deursen, Arie}, |
|
booktitle={2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)}, |
|
pages={260--271}, |
|
year={2023}, |
|
organization={IEEE} |
|
} |
|
``` |
