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WikiSER

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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>
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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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Size of downloaded dataset files:
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Number of rows:
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Paper for taidng/WikiSER