The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for named_timexes
Dataset Summary
This is a dataset annotated for named temporal expression chunks.
The commonest temporal expressions typically contain date and time words, like April or hours. Research into recognising and interpreting these typical expressions is mature in many languages. However, there is a class of expressions that are less typical, very varied, and difficult to automatically interpret. These indicate dates and times, but are harder to detect because they often do not contain time words and are not used frequently enough to appear in conventional temporally-annotated corpora – for example Michaelmas or Vasant Panchami.
For more details see Recognising and Interpreting Named Temporal Expressions
Supported Tasks and Leaderboards
- Task: Named Entity Recognition (temporal expressions)
Languages
Englsih
Dataset Structure
Data Instances
Data Fields
Each tweet contains an ID, a list of tokens, and a list of timex chunk flags.
id: astringfeature.tokens: alistofstrings.ntimex_tags: alistof class IDs (ints) for whether a token is out-of-timex or in a timex chunk.
0: O
1: T
Data Splits
| Section | Token count |
|---|---|
| train | 87 050 |
| test | 30 010 |
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
Creative Commons Attribution 4.0 International (CC BY 4.0)
Citation Information
@inproceedings{brucato-etal-2013-recognising,
title = "Recognising and Interpreting Named Temporal Expressions",
author = "Brucato, Matteo and
Derczynski, Leon and
Llorens, Hector and
Bontcheva, Kalina and
Jensen, Christian S.",
booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing {RANLP} 2013",
month = sep,
year = "2013",
address = "Hissar, Bulgaria",
publisher = "INCOMA Ltd. Shoumen, BULGARIA",
url = "https://aclanthology.org/R13-1015",
pages = "113--121",
}
Contributions
Author-added dataset @leondz
- Downloads last month
- 46