metadata

language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
pretty_name: MIT Restaurant

Dataset Card for "tner/mit_restaurant"

Dataset Description

Repository: T-NER
Paper: https://aclanthology.org/U15-1010.pdf
Dataset: MIT restaurant
Domain: Restaurant
Number of Entity: 8

Dataset Summary

MIT Restaurant NER dataset formatted in a part of TNER project.

Entity Types: Rating, Amenity, Location, Restaurant_Name, Price, Hours, Dish, Cuisine.

Dataset Structure

Data Instances

An example of train looks as follows.

{
    "tags": [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    "tokens": ["1", ".", "1", ".", "4", "Borrower", "engages", "in", "criminal", "conduct", "or", "is", "involved", "in", "criminal", "activities", ";"]
}

Label ID

The label2id dictionary can be found at here.

{
    "O": 0,
    "B-Rating": 1,
    "I-Rating": 2,
    "B-Amenity": 3,
    "I-Amenity": 4,
    "B-Location": 5,
    "I-Location": 6,
    "B-Restaurant_Name": 7,
    "I-Restaurant_Name": 8,
    "B-Price": 9,
    "B-Hours": 10,
    "I-Hours": 11,
    "B-Dish": 12,
    "I-Dish": 13,
    "B-Cuisine": 14,
    "I-Price": 15,
    "I-Cuisine": 16
}

Data Splits

name	train	validation	test
mit_restaurant	6899	759	1520