---
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](https://github.com/explosion/projects/tree/v3/tutorials/ner_fashion_brands). The goal 
of the dataset is to detect fashion brands in Reddit Comments. 

For more details, be sure to read [this blogpost](https://explosion.ai/blog/sense2vec-reloaded#annotation).