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metadata
tags:
  - prodigy
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: eval
        path: data/eval-*
dataset_info:
  features:
    - name: text
      dtype: string
    - name: meta
      struct:
        - name: section
          dtype: string
    - name: _input_hash
      dtype: int64
    - name: _task_hash
      dtype: int64
    - name: tokens
      list:
        - name: end
          dtype: int64
        - name: id
          dtype: int64
        - name: start
          dtype: int64
        - name: text
          dtype: string
    - name: spans
      list:
        - name: end
          dtype: int64
        - name: input_hash
          dtype: int64
        - name: label
          dtype: string
        - name: source
          dtype: string
        - name: start
          dtype: int64
        - name: text
          dtype: string
        - name: token_end
          dtype: int64
        - name: token_start
          dtype: int64
    - name: _session_id
      dtype: 'null'
    - name: _view_id
      dtype: string
    - name: answer
      dtype: string
  splits:
    - name: train
      num_bytes: 2222165
      num_examples: 1235
    - name: eval
      num_bytes: 898819
      num_examples: 500
  download_size: 839865
  dataset_size: 3120984

Ner Fashion Brands

This dataset originally appear as part of this tutorial. The goal of the dataset is to detect fashion brands in Reddit Comments.

For more details, be sure to read this blogpost.