---
dataset_info:
- config_name: default
  features:
  - name: uid
    dtype: int64
  - name: id
    dtype: int64
  - name: comment_text
    dtype: string
  - name: toxicity
    dtype:
      class_label:
        names:
          '0': non-toxic
          '1': toxic
  - name: has_active_attrs
    dtype: bool
  - name: active_attrs
    sequence: string
  - name: male
    dtype: int64
  - name: female
    dtype: int64
  - name: LGBTQ
    dtype: int64
  - name: christian
    dtype: int64
  - name: muslim
    dtype: int64
  - name: other_religions
    dtype: int64
  - name: black
    dtype: int64
  - name: white
    dtype: int64
  - name: identity_any
    dtype: int64
  - name: severe_toxicity
    dtype: int64
  - name: obscene
    dtype: int64
  - name: threat
    dtype: int64
  - name: insult
    dtype: int64
  - name: identity_attack
    dtype: int64
  - name: sexual_explicit
    dtype: int64
  splits:
  - name: train
    num_bytes: 136807710
    num_examples: 267516
  - name: test
    num_bytes: 67509707
    num_examples: 132730
  - name: validation
    num_bytes: 23031837
    num_examples: 45047
  download_size: 114641124
  dataset_size: 227349254
- config_name: raw
  features:
  - name: id
    dtype: int64
  - name: comment_text
    dtype: string
  - name: split
    dtype: string
  - name: created_date
    dtype: string
  - name: publication_id
    dtype: int64
  - name: parent_id
    dtype: float64
  - name: article_id
    dtype: int64
  - name: rating
    dtype: string
  - name: funny
    dtype: int64
  - name: wow
    dtype: int64
  - name: sad
    dtype: int64
  - name: likes
    dtype: int64
  - name: disagree
    dtype: int64
  - name: toxicity
    dtype: float64
  - name: severe_toxicity
    dtype: float64
  - name: obscene
    dtype: float64
  - name: sexual_explicit
    dtype: float64
  - name: identity_attack
    dtype: float64
  - name: insult
    dtype: float64
  - name: threat
    dtype: float64
  - name: male
    dtype: float64
  - name: female
    dtype: float64
  - name: transgender
    dtype: float64
  - name: other_gender
    dtype: float64
  - name: heterosexual
    dtype: float64
  - name: homosexual_gay_or_lesbian
    dtype: float64
  - name: bisexual
    dtype: float64
  - name: other_sexual_orientation
    dtype: float64
  - name: christian
    dtype: float64
  - name: jewish
    dtype: float64
  - name: muslim
    dtype: float64
  - name: hindu
    dtype: float64
  - name: buddhist
    dtype: float64
  - name: atheist
    dtype: float64
  - name: other_religion
    dtype: float64
  - name: black
    dtype: float64
  - name: white
    dtype: float64
  - name: asian
    dtype: float64
  - name: latino
    dtype: float64
  - name: other_race_or_ethnicity
    dtype: float64
  - name: physical_disability
    dtype: float64
  - name: intellectual_or_learning_disability
    dtype: float64
  - name: psychiatric_or_mental_illness
    dtype: float64
  - name: other_disability
    dtype: float64
  - name: identity_annotator_count
    dtype: int64
  - name: toxicity_annotator_count
    dtype: int64
  - name: LGBTQ
    dtype: int64
  - name: other_religions
    dtype: int64
  - name: asian_latino_etc
    dtype: int64
  - name: disability_any
    dtype: int64
  - name: identity_any
    dtype: int64
  - name: num_identities
    dtype: float64
  - name: more_than_one_identity
    dtype: bool
  - name: na_gender
    dtype: int64
  - name: na_orientation
    dtype: int64
  - name: na_religion
    dtype: int64
  - name: na_race
    dtype: int64
  - name: na_disability
    dtype: int64
  splits:
  - name: train
    num_bytes: 373627048
    num_examples: 448000
  download_size: 137912393
  dataset_size: 373627048
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
- config_name: raw
  data_files:
  - split: train
    path: raw/train-*
---


This is the CivilComments datasets available in the [`wilds`](https://github.com/p-lambda/wilds/blob/472677590de351857197a9bf24958838c39c272b/wilds/datasets/civilcomments_dataset.py#L9) library library and downloadable from [codalab]("https://worksheets.codalab.org/rest/bundles/0x8cd3de0634154aeaad2ee6eb96723c6e/contents/blob/")
whose README.md file is

```markdown
# Release notes for CivilComments

## v1.0
Dec 9, 2020: First release.
```

There are two configurations:
  
  - `default`: The processed data (more details below)
  - `raw`: The raw datasets as downloaded from the link above


The `default` configuration has been created using the processing function reported in `processing_script.py`