
# Dataset Card for "tner/mit_restaurant"

## Dataset Description

- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Dataset:** MIT restaurant
- **Domain:** Restaurant
- **Number of Entity:** 8

### Dataset Summary
MIT Restaurant NER dataset formatted in a part of [TNER](https://github.com/asahi417/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, 0, 0, 0, 5, 3, 4, 0],
    'tokens': ['can', 'you', 'find', 'the', 'phone', 'number', 'for', 'the', 'closest', 'family', 'style', 'restaurant']
}
```

### Label ID
The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/mit_restaurant/raw/main/dataset/label.json).
```python
{
    "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      |6900  |       760| 1521|

task_categories:token-classification task_ids:named-entity-recognition multilinguality:monolingual size_categories:1K<n<10K language:en license:other region:us
{"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "MIT Restaurant"}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us 

Dataset Card for "tner/mit\_restaurant"
=======================================


Dataset Description
-------------------


* Repository: T-NER
* 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.


### Label ID


The label2id dictionary can be found at here.


### Data Splits




### 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. ### Label ID


The label2id dictionary can be found at here. ### Data Splits
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us 
 ### 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. ### Label ID


The label2id dictionary can be found at here. ### Data Splits
passage: TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us 
### 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.### Label ID


The label2id dictionary can be found at here.### Data Splits