README.md

---
license: apache-2.0
---
# Software Entity Recognition

## Description
Data collected from our paper ["Software Entity Recognition with Noise-robust Learning"](https://arxiv.org/abs/2308.10564), ASE 2023.

WikiSER corpus includes 1.7M sentences with named entity labels extracted from 79k Wikipedia articles.
Relevant software named entities are labeled under 12 fine-grained categories:

| Type             | Examples                                              |
|------------------|-------------------------------------------------------|
| Algorithm        | Auction algorithm, Collaborative filtering            |
| Application      | Adobe Acrobat, Microsoft Excel                       |
| Architecture     | Graphics processing unit, Wishbone                   |
| Data_Structure   | Array, Hash table, mXOR linked list                  |
| Device           | Samsung Gear S2, iPad, Intel T5300                    |
| Error Name       | Buffer overflow, Memory leak                         |
| General_Concept  | Memory management, Nouvelle AI                       |
| Language         | C++, Java, Python, Rust                               |
| Library          | Beautiful Soup, FastAPI                               |
| License          | Cryptix General License, MIT License                  |
| Operating_System | Linux, Ubuntu, Red Hat OS, MorphOS                   |
| Protocol         | TLS, FTPS, HTTP 404                                   |

WikiSER is organized by the Wiki articles in which the data was scraped from.

    |-- Adobe_Flash.txt
    |-- Linux.txt
    |-- Java_(programming_language).txt
    |-- ...

Each sentences are split by `<s>...</s>` and tokenized with [stokenizer](https://github.com/jeniyat/StackOverflowNER/blob/master/code/SOTokenizer/stokenizer.py).

## Structure
In the [folder](https://huggingface.co/datasets/taidng/WikiSER/tree/main/):

`wikiser`: Full zipped data

`wikiser-small`: Subset of the data used for training [`wikiser-bert-base`](https://huggingface.co/taidng/wikiser-bert-base) and [`wikiser-bert-large`](https://huggingface.co/taidng/wikiser-bert-large)

`wikiser-sample`: A few examples


## Citation
```bibtex
@inproceedings{nguyen2023software,
  title={Software Entity Recognition with Noise-Robust Learning},
  author={Nguyen, Tai and Di, Yifeng and Lee, Joohan and Chen, Muhao and Zhang, Tianyi},
  booktitle={Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE'23)},
  year={2023},
  organization={IEEE/ACM}
}
```