README.md

---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
- config_name: embedding_all-MiniLM-L12-v2
  data_files:
  - split: train
    path: embedding_all-MiniLM-L12-v2/train-*
  - split: validation
    path: embedding_all-MiniLM-L12-v2/validation-*
  - split: test
    path: embedding_all-MiniLM-L12-v2/test-*
- config_name: embedding_all-mpnet-base-v2
  data_files:
  - split: train
    path: embedding_all-mpnet-base-v2/train-*
  - split: validation
    path: embedding_all-mpnet-base-v2/validation-*
  - split: test
    path: embedding_all-mpnet-base-v2/test-*
- config_name: embedding_multi-qa-mpnet-base-dot-v1
  data_files:
  - split: train
    path: embedding_multi-qa-mpnet-base-dot-v1/train-*
  - split: validation
    path: embedding_multi-qa-mpnet-base-dot-v1/validation-*
  - split: test
    path: embedding_multi-qa-mpnet-base-dot-v1/test-*
dataset_info:
- config_name: default
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  - name: labels
    dtype:
      class_label:
        names:
          '0': non
          '1': tox
  - name: uid
    dtype: int64
  splits:
  - name: train
    num_bytes: 55430581
    num_examples: 127656
  - name: validation
    num_bytes: 13936861
    num_examples: 31915
  - name: test
    num_bytes: 27474227
    num_examples: 63978
  download_size: 62548640
  dataset_size: 96841669
- config_name: embedding_all-MiniLM-L12-v2
  features:
  - name: uid
    dtype: int64
  - name: embedding_all-MiniLM-L12-v2
    sequence: float32
  splits:
  - name: train
    num_bytes: 197611488
    num_examples: 127656
  - name: validation
    num_bytes: 49404420
    num_examples: 31915
  - name: test
    num_bytes: 99037944
    num_examples: 63978
  download_size: 484421377
  dataset_size: 346053852
- config_name: embedding_all-mpnet-base-v2
  features:
  - name: uid
    dtype: int64
  - name: embedding_all-mpnet-base-v2
    sequence: float32
  splits:
  - name: train
    num_bytes: 393691104
    num_examples: 127656
  - name: validation
    num_bytes: 98425860
    num_examples: 31915
  - name: test
    num_bytes: 197308152
    num_examples: 63978
  download_size: 827919212
  dataset_size: 689425116
- config_name: embedding_multi-qa-mpnet-base-dot-v1
  features:
  - name: uid
    dtype: int64
  - name: embedding_multi-qa-mpnet-base-dot-v1
    sequence: float32
  splits:
  - name: train
    num_bytes: 393691104
    num_examples: 127656
  - name: validation
    num_bytes: 98425860
    num_examples: 31915
  - name: test
    num_bytes: 197308152
    num_examples: 63978
  download_size: 827907964
  dataset_size: 689425116
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- found
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: Toxic Wikipedia Comments
size_categories:
- 100K<n<1M
source_datasets:
- extended|other
tags:
- wikipedia
- toxicity
- toxic comments
task_categories:
- text-classification
task_ids:
- hate-speech-detection
---

This dataset has been created as an artefact of the paper [AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets (Lesci and Vlachos, 2024)](https://arxiv.org/abs/2404.05623).
More info about this dataset in the appendix of the paper. 
This is the same dataset as [`OxAISH-AL-LLM/wiki_toxic`](https://huggingface.co/datasets/OxAISH-AL-LLM/wiki_toxic).
The only differences are:

1. Addition of a unique identifier, `uid`.
   
1. Addition of the indices, that is, 3 columns with the embeddings of 3 different sentence-transformers
   - `all-mpnet-base-v2`
   - `multi-qa-mpnet-base-dot-v1`
   - `all-MiniLM-L12-v2`

1. Renaming of the `label` column to `labels` for easier compatibility with the transformers library.