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Learning to quantify: LeQua 2022 datasets
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Data and Resources
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Zenodo link
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Personal Data Attributes
Field | Value |
---|---|
Anonymised | Pseudo Anonymized |
ChildrenData | No |
Cross Border Authorised | Yes |
Data Protection Impact Assessment | Yes |
Ethics Committee Approval | Yes |
General Data | Yes |
Informed Consent Template | Yes |
Personal Data | No |
Personal data was manifestly made public by the data subject | No |
Sensitive Data | No |
Additional Info
Field | Value |
---|---|
Accessibility | Both |
Accessibility Mode | Download |
Availability | On-Line |
Basic rights | Download |
Creation Date | 2021-12-01 |
Creator | Moreo, Alejandro, [email protected], orcid.org/0000-0002-0377-1025 |
Dataset Citation | Esuli, Andrea, Moreo, Alejandro, & Sebastiani, Fabrizio. (2021). Learning to quantify: LeQua 2022 datasets [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6546188 |
Dataset Re-Use Safeguards | None |
DiskSize | 104.3 |
External Identifier | 10.5281/zenodo.6546188 |
Field/Scope of use | Non-commercial research only |
Format | zip |
Group | Others |
Language | eng, English |
License term | 2021-12-01 /2029-12-31 |
Manifestation Type | Virtual |
Processing Degree | Secondary |
Retention Period | 2029-12-31 /2030-12-31 |
Size | 104.3GB |
Sublicense rights | No |
Territory of use | World Wide |
Thematic Cluster | Text and Social Media Mining [TSMM] |
system:type | Dataset |
Management Info
Field | Value |
---|---|
Author | Moreo Alejandro |
Maintainer | Moreo Alejandro |
Version | 1 |
Last Updated | 24 June 2023, 01:08 (CEST) |
Created | 3 March 2023, 18:02 (CET) |