Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
ArXiv:
License:
| language: | |
| - en | |
| license: | |
| - other | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1k<10K | |
| task_categories: | |
| - token-classification | |
| task_ids: | |
| - named-entity-recognition | |
| pretty_name: TweetNER7 | |
| # Dataset Card for "tner/tweetner7" | |
| ## Dataset Description | |
| - **Repository:** [https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper](https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper) | |
| - **Paper:** TBA | |
| - **Dataset:** TweetNER7 | |
| - **Domain:** Twitter | |
| - **Number of Entity:** 7 | |
| ### Dataset Summary | |
| This is an official of TweetNER7 ("Named Entity Recognition in Twitter: | |
| A Dataset and Analysis on Short-Term Temporal Shifts, AACL main conference 2022"), an NER dataset on Twitter with 7 entity labels. Each instance of TweetNER7 comes with | |
| a timestamp which distributes from September 2019 to August 2021. | |
| - Entity Types: `corperation`, `creative_work`, `event`, `group`, `location`, `product`, `person` | |
| ### Preprocessing | |
| We pre-process tweets before the annotation to normalize some artifacts, converting URLs into a special token `{{URL}}` and non-verified usernames into `{{USERNAME}}`. | |
| For verified usernames, we replace its display name with symbols `{@}`. | |
| For example, a tweet | |
| ``` | |
| Get the all-analog Classic Vinyl Edition | |
| of "Takin' Off" Album from @herbiehancock | |
| via @bluenoterecords link below: | |
| http://bluenote.lnk.to/AlbumOfTheWeek | |
| ``` | |
| is transformed into the following text. | |
| ``` | |
| Get the all-analog Classic Vinyl Edition | |
| of "Takin' Off" Album from {@Herbie Hancock@} | |
| via {{USERNAME}} link below: {{URL}} | |
| ``` | |
| We ask annotators to ignore those special tokens but label the verified users' mentions. | |
| ### Data Split | |
| | split | number of instances | description | | |
| |:------------------|------:|------:| | |
| | train_2020 | 4616 | training dataset from September 2019 to August 2020 | | |
| | train_2021 | 2495 | training dataset from September 2020 to August 2021 | | |
| | train_all | 7111 | combined training dataset of `train_2020` and `train_2021` | | |
| | validation_2020 | 576 | validation dataset from September 2019 to August 2020 | | |
| | validation_2021 | 310 | validation dataset from September 2020 to August 2021 | | |
| | validation_all | 886 | combined validation dataset of `validation_2020` and `validation_2021` | | |
| | test_2020 | 576 | test dataset from September 2019 to August 2020 | | |
| | test_2021 | 2807 | test dataset from September 2020 to August 2021 | | |
| | test_all | 3383 | combined test dataset of `test_2020` and `test_2021` | | |
| | train_random | 4616 | randomly sampled training dataset with the same size as `train_2020` from `train_all` | | |
| | validation_random | 576 | randomly sampled training dataset with the same size as `validation_2020` from `validation_all` | | |
| | extra_2020 | 87880 | extra tweet without annotations from September 2019 to August 2020 | | |
| | extra_2021 | 93594 | extra tweet without annotations from September 2020 to August 2021 | | |
| ### Reproduce Experimental Result | |
| To reproduce the experimental result on our AACL paper, please see the repository | |
| [https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper](https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper). | |
| ## Dataset Structure | |
| ### Data Instances | |
| An example of `train` looks as follows. | |
| ``` | |
| { | |
| 'tokens': ['Morning', '5km', 'run', 'with', '{{USERNAME}}', 'for', 'breast', 'cancer', 'awareness', '#', 'pinkoctober', '#', 'breastcancerawareness', '#', 'zalorafit', '#', 'zalorafitxbnwrc', '@', 'The', 'Central', 'Park', ',', 'Desa', 'Parkcity', '{{URL}}'], | |
| 'tags': [14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 2, 14, 2, 14, 14, 14, 14, 14, 14, 4, 11, 11, 11, 11, 14], | |
| 'id': '1183344337016381440', | |
| 'date': '2019-10-13' | |
| } | |
| ``` | |
| ### Label ID | |
| The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/tweetner7/raw/main/dataset/label.json). | |
| ```python | |
| { | |
| "B-corporation": 0, | |
| "B-creative_work": 1, | |
| "B-event": 2, | |
| "B-group": 3, | |
| "B-location": 4, | |
| "B-person": 5, | |
| "B-product": 6, | |
| "I-corporation": 7, | |
| "I-creative_work": 8, | |
| "I-event": 9, | |
| "I-group": 10, | |
| "I-location": 11, | |
| "I-person": 12, | |
| "I-product": 13, | |
| "O": 14 | |
| } | |
| ``` | |
| ### Citation Information | |
| ``` | |
| @inproceedings{ushio-etal-2022-tweet, | |
| title = "{N}amed {E}ntity {R}ecognition in {T}witter: {A} {D}ataset and {A}nalysis on {S}hort-{T}erm {T}emporal {S}hifts", | |
| author = "Ushio, Asahi and | |
| Neves, Leonardo and | |
| Silva, Vitor and | |
| Barbieri, Francesco. and | |
| Camacho-Collados, Jose", | |
| booktitle = "The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing", | |
| month = nov, | |
| year = "2022", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| } | |
| ``` | |