text
stringlengths 3
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|
---|
<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 Dataset Viewer.
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}
}
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