Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,307 Bytes
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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: word
dtype: string
- name: language
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: special_tokens_mask
sequence: int8
- name: tokens
sequence: string
splits:
- name: train
num_bytes: 5310458
num_examples: 37849
- name: test
num_bytes: 1981786
num_examples: 14123
- name: validation
num_bytes: 2614514
num_examples: 18643
download_size: 2205128
dataset_size: 9906758
license: mit
task_categories:
- text-classification
language:
- en
---
# Dataset Card for "english_char_split"
This is a dataset of English words which have been tokenised by character.
It was originally used to train a RoBERTa model from scratch on the masked language modelling task where during training, characters were randomly masked.
This was ultimately used in an anomaly detection task where the embeddings from the trained model were used to detect non-English words - see full example [here](https://github.com/datasig-ac-uk/signature_applications/tree/master/anomaly_detection_language_dataset). |