|
--- |
|
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). |
