Dataset Viewer
text
stringlengths 3
233
|
---|
<s>
|
The O
|
Application O
|
Blocks O
|
in O
|
Enterprise B-Application
|
Library I-Application
|
are O
|
designed O
|
to O
|
be O
|
as O
|
agnostic O
|
as O
|
possible O
|
to O
|
the O
|
application O
|
architecture O
|
, O
|
for O
|
example O
|
the O
|
Logging O
|
Application O
|
Block O
|
may O
|
be O
|
used O
|
equally O
|
in O
|
a O
|
web O
|
, O
|
smart B-Protocol
|
client I-Protocol
|
or O
|
service-oriented O
|
application O
|
. O
|
</s>
|
<s>
|
On O
|
the O
|
release O
|
of O
|
the O
|
Macintosh B-Device
|
Plus I-Device
|
in O
|
1986 O
|
, O
|
the O
|
company O
|
had O
|
to O
|
revise O
|
the O
|
MacEnhancer B-Device
|
slightly O
|
to O
|
account O
|
for O
|
a O
|
missing O
|
power O
|
rail O
|
on O
|
one O
|
of O
|
its O
|
rear O
|
serial B-Protocol
|
connectors I-Protocol
|
. O
|
</s>
|
<s>
|
However O
|
, O
|
VoIP B-Application
|
differs O
|
in O
|
that O
|
it O
|
uses O
|
RTP B-Protocol
|
, O
|
UDP B-Protocol
|
and O
|
IP B-Protocol
|
, O
|
all O
|
of O
|
which O
|
are O
|
connectionless B-Protocol
|
protocols I-Protocol
|
. O
|
</s>
|
<s>
|
End of preview. Expand
in Data Studio
Software Entity Recognition
Description
Data collected from our paper "Software Entity Recognition with Noise-robust Learning", 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.
Structure
In the folder:
wikiser
: Full zipped data
wikiser-small
: Subset of the data used for training wikiser-bert-base
and wikiser-bert-large
wikiser-sample
: A few examples
Citation
@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}
}
- Downloads last month
- 26