Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
License:
leondz commited on
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README draft

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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - found
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+ languages:
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+ - en
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+ licenses:
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+ - cc-by-4.0
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+ multilinguality:
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+ - monolingual
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+ pretty_name: Named Temporal Expressions dataset
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - token-classification
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+ task_ids: []
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+ ---
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+
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+ # Dataset Card for named_timexes
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:**
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+ - **Repository:**
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+ - **Paper:** [https://aclanthology.org/R13-1015/](https://aclanthology.org/R13-1015/)
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+ - **Leaderboard:**
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+ - **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
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+
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+ ### Dataset Summary
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+
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+ This is a dataset annotated for _named temporal expression_ chunks.
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+
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+ The
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+ commonest temporal expressions typically
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+ contain date and time words, like April or
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+ hours. Research into recognising and interpreting these typical expressions is mature in many languages. However, there is
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+ a class of expressions that are less typical,
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+ very varied, and difficult to automatically
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+ interpret. These indicate dates and times,
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+ but are harder to detect because they often do not contain time words and are not
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+ used frequently enough to appear in conventional temporally-annotated corpora –
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+ for example *Michaelmas* or *Vasant Panchami*.
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+
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+ For more details see [Recognising and Interpreting Named Temporal Expressions](https://aclanthology.org/R13-1015.pdf)
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ * Task: Named Entity Recognition (temporal expressions)
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+
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+ ### Languages
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+
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+ Englsih
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ ### Data Fields
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+
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+ Each tweet contains an ID, a list of tokens, and a list of timex chunk flags.
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+
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+
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+ - `id`: a `string` feature.
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+ - `tokens`: a `list` of `strings` .
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+ - `ntimex_tags`: a `list` of class IDs (`int`s) for whether a token is out-of-timex or in a timex chunk.
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+
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+ ```
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+ 0: O
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+ 1: T
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+ ```
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+
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+ ### Data Splits
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+
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+ Section|Token count
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+ ---|---:
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+ train|87 050
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+ test|30 010
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [Needs More Information]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [Needs More Information]
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+
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+ #### Who are the source language producers?
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+
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+ [Needs More Information]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [Needs More Information]
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+
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+ #### Who are the annotators?
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+
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+ [Needs More Information]
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+
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+ ### Personal and Sensitive Information
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+
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+ [Needs More Information]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [Needs More Information]
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+
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+ ### Discussion of Biases
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+
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+ [Needs More Information]
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+
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+ ### Other Known Limitations
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+
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+ [Needs More Information]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [Needs More Information]
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+
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+ ### Licensing Information
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+
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+ Creative Commons Attribution 4.0 International (CC BY 4.0)
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+
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+ ### Citation Information
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+
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+ ```
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+ @inproceedings{brucato-etal-2013-recognising,
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+ title = "Recognising and Interpreting Named Temporal Expressions",
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+ author = "Brucato, Matteo and
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+ Derczynski, Leon and
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+ Llorens, Hector and
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+ Bontcheva, Kalina and
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+ Jensen, Christian S.",
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+ booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing {RANLP} 2013",
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+ month = sep,
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+ year = "2013",
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+ address = "Hissar, Bulgaria",
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+ publisher = "INCOMA Ltd. Shoumen, BULGARIA",
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+ url = "https://aclanthology.org/R13-1015",
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+ pages = "113--121",
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Author-added dataset [@leondz](https://github.com/leondz)