Datasets:
File size: 2,685 Bytes
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---
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}
}
``` |