Table · dataset · 2017
SIGARRA News Corpus
Listed in INESC TEC Research Data Repository
This dataset was taken from the SIGARRA information system at the University of Porto (UP).
Description
Every organic unit has its own domain and produces academic news. We collected a sample of 1000 news, manually annotating 905 using the Brat rapid annotation tool.
This dataset consists of three files. The first is a CSV file containing news published between 2016-12-14 and 2017-03-01. The second file is a ZIP archive containing one directory per organic unit, with a text file and an annotations file per news article.
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The third file is an XML containing the complete set of news in a similar format to the HAREM dataset format. This dataset is particularly adequate for training named entity recognition models.
Links
Get the data
- sigarra_news_corpus-1000-20170302T1422 rdm.inesctec.pt/dataset/fd3b75f3-538d-4802-a0b5-0c39d3590a70/resource/a195090a… ↗
download · from rdm inesctec pt
- sigarra-news-corpus rdm.inesctec.pt/dataset/fd3b75f3-538d-4802-a0b5-0c39d3590a70/resource/22693278… ↗
download · from rdm inesctec pt
- sigarra-news-corpus rdm.inesctec.pt/dataset/fd3b75f3-538d-4802-a0b5-0c39d3590a70/resource/8335ba34… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/cs-2017-004 ↗
landing page · from rdm inesctec pt
Documentation and papers
- Publisher page sigarra.up.pt ↗
documentation · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=fd3b75f3-538d-4802-a0b5-0c39d3590… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- CS: Computer Science
- From keywords
- Computer Science & AI · Engineering
- Inferred from text
- Artificial intelligence 68% · Text 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | fd3b75f3-538d-4802-a0b5-0c39d3590a70 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].anzsrc:group:4602 | enrichment · rdm inesctec pt | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| concepts[field].local:field:computer-science-ai | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:engineering | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[topic].ckan_group:rdm_inesctec_pt:cs-computer-science | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| created_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| description | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /notes |
| license_text | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| publication_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| title | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /title |
| updated_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 |