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Datasets:
tner
/
mit_restaurant

Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
License:
Dataset card Viewer Files Community
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asahi417 commited on
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1 Parent(s): 79a7199

init

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  1. README.md +3 -3
README.md CHANGED
@@ -36,8 +36,8 @@ An example of `train` looks as follows.
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  ```
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  {
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- "tags": [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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- "tokens": ["1", ".", "1", ".", "4", "Borrower", "engages", "in", "criminal", "conduct", "or", "is", "involved", "in", "criminal", "activities", ";"]
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  }
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  ```
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@@ -69,4 +69,4 @@ The label2id dictionary can be found at [here](https://huggingface.co/datasets/t
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  | name |train|validation|test|
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  |---------|----:|---------:|---:|
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- |mit_restaurant |6899 | 759| 1520|
 
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  ```
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  {
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+ 'tags': [0, 0, 0, 0, 0, 0, 0, 0, 5, 3, 4, 0],
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+ 'tokens': ['can', 'you', 'find', 'the', 'phone', 'number', 'for', 'the', 'closest', 'family', 'style', 'restaurant']
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  }
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  ```
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  | name |train|validation|test|
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  |---------|----:|---------:|---:|
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+ |mit_restaurant |6900 | 760| 1521|