Datasets:
Tasks:
Token Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
License:
README draft
Browse files
README.md
ADDED
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1 |
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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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# Dataset Card for named_timexes
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## Table of Contents
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- [Dataset Description](#dataset-description)
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26 |
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- [Dataset Summary](#dataset-summary)
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27 |
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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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30 |
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- [Data Instances](#data-instances)
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31 |
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- [Data Fields](#data-instances)
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32 |
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- [Data Splits](#data-instances)
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33 |
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- [Dataset Creation](#dataset-creation)
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34 |
+
- [Curation Rationale](#curation-rationale)
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35 |
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- [Source Data](#source-data)
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36 |
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- [Annotations](#annotations)
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37 |
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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38 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
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39 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
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40 |
+
- [Discussion of Biases](#discussion-of-biases)
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41 |
+
- [Other Known Limitations](#other-known-limitations)
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42 |
+
- [Additional Information](#additional-information)
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43 |
+
- [Dataset Curators](#dataset-curators)
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44 |
+
- [Licensing Information](#licensing-information)
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45 |
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- [Citation Information](#citation-information)
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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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### Dataset Summary
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This is a dataset annotated for _named temporal expression_ chunks.
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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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For more details see [Recognising and Interpreting Named Temporal Expressions](https://aclanthology.org/R13-1015.pdf)
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### Supported Tasks and Leaderboards
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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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81 |
+
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### Data Instances
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### Data Fields
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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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- `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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0: O
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1: T
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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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## 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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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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128 |
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129 |
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[Needs More Information]
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130 |
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131 |
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### Personal and Sensitive Information
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132 |
+
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133 |
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[Needs More Information]
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134 |
+
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135 |
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## Considerations for Using the Data
|
136 |
+
|
137 |
+
### Social Impact of Dataset
|
138 |
+
|
139 |
+
[Needs More Information]
|
140 |
+
|
141 |
+
### Discussion of Biases
|
142 |
+
|
143 |
+
[Needs More Information]
|
144 |
+
|
145 |
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### Other Known Limitations
|
146 |
+
|
147 |
+
[Needs More Information]
|
148 |
+
|
149 |
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## Additional Information
|
150 |
+
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151 |
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### Dataset Curators
|
152 |
+
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+
[Needs More Information]
|
154 |
+
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155 |
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### Licensing Information
|
156 |
+
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157 |
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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+
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159 |
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### Citation Information
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160 |
+
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161 |
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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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165 |
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Derczynski, Leon and
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166 |
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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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180 |
+
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+
Author-added dataset [@leondz](https://github.com/leondz)
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