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.