---
viewer: true
annotations_creators:
  - expert-generated
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - n<50K
source_datasets:
  - extended|other
task_categories:
  - other
task_ids:
  - named-entity-recognition
pretty_name: TweetTER
tags:
  - Tweet_ter
  - natural language processing
configs:
  - config_name: tweet_ter
    data_files:
      - split: train
        path: data/train.tsv
      - split: test
        path: data/test.tsv
      - split: validation
        path: data/val.tsv
---


# TweetTER

# Dataset Card for "tweet_ter"

### Dataset Summary
This is the oficial repository for TweetTER,  a benchmark for Target Entity Retrieval on Twitter without knowledge bases. 
More details on the task and an evaluation of language models can be found on the [TODO: add paper link](), published in LREC-COLING 2024.