Datasets:
Modalities:
Text
Formats:
csv
Languages:
Bengali
Size:
100K - 1M
Tags:
headline-generation
low-resource
information-extraction
news-clustering
keyword-identification
document-categorization
License:
Update README.md
Browse files
README.md
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@@ -34,7 +34,7 @@ However, the performance of headline generation systems remains challenging due
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low-resource languages like Bengali. We provide **Shironaam**, a large-scale news headline generation dataset of a low-resource language
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_i.e._, Bengali containing over 240K news headline-article pairings with auxiliary information such as image captions, topic words,
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and category information. Also, this dataset can potentially be used for other tasks such as document categorization, news clustering,
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keyword identification,
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<!---
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### Supported Tasks and Leaderboards
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@@ -103,7 +103,7 @@ mentioned above has its own professional authors and distinct writing style, we
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to prevent the bias of a particular annotation style. To ensure content diversity, we also cover various
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domains from all the news dailies. The majority of the news samples are extracted from HTML bodies of the
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corresponding publications, while some are rendered using JavaScript. However, two of them do not provide
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the archives on their websites; therefore, we collect the samples through their APIs... [
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<!---
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### Curation Rationale
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low-resource languages like Bengali. We provide **Shironaam**, a large-scale news headline generation dataset of a low-resource language
|
35 |
_i.e._, Bengali containing over 240K news headline-article pairings with auxiliary information such as image captions, topic words,
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and category information. Also, this dataset can potentially be used for other tasks such as document categorization, news clustering,
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37 |
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keyword identification, _etc._ [(read more)](https://aclanthology.org/2023.eacl-main.4.pdf).
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<!---
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### Supported Tasks and Leaderboards
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to prevent the bias of a particular annotation style. To ensure content diversity, we also cover various
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104 |
domains from all the news dailies. The majority of the news samples are extracted from HTML bodies of the
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105 |
corresponding publications, while some are rendered using JavaScript. However, two of them do not provide
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106 |
+
the archives on their websites; therefore, we collect the samples through their APIs... [details in the paper](https://aclanthology.org/2023.eacl-main.4.pdf)
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<!---
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### Curation Rationale
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