README.md

---
dataset_info:
  features:
  - name: noteId
    dtype: int64
  - name: noteAuthorParticipantId
    dtype: string
  - name: createdAtMillis
    dtype: int64
  - name: tweetId
    dtype: int64
  - name: classification
    dtype: string
  - name: believable
    dtype: string
  - name: harmful
    dtype: string
  - name: validationDifficulty
    dtype: string
  - name: misleadingOther
    dtype: int64
  - name: misleadingFactualError
    dtype: int64
  - name: misleadingManipulatedMedia
    dtype: int64
  - name: misleadingOutdatedInformation
    dtype: int64
  - name: misleadingMissingImportantContext
    dtype: int64
  - name: misleadingUnverifiedClaimAsFact
    dtype: int64
  - name: misleadingSatire
    dtype: int64
  - name: notMisleadingOther
    dtype: int64
  - name: notMisleadingFactuallyCorrect
    dtype: int64
  - name: notMisleadingOutdatedButNotWhenWritten
    dtype: int64
  - name: notMisleadingClearlySatire
    dtype: int64
  - name: notMisleadingPersonalOpinion
    dtype: int64
  - name: trustworthySources
    dtype: int64
  - name: summary
    dtype: string
  - name: isMediaNote
    dtype: int64
  - name: climate_label
    dtype: int64
  - name: climate_score
    dtype: float64
  splits:
  - name: train
    num_bytes: 5823325
    num_examples: 10000
  download_size: 2377349
  dataset_size: 5823325
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
This dataset was created by running `climatebert/distilroberta-base-climate-detector` on the "summary" column of the first 10,000 rows of the Twitter community notes dataset ([description](https://communitynotes.x.com/guide/en/under-the-hood/download-data), [download link](https://ton.twimg.com/birdwatch-public-data/2024/07/29/notes/notes-00000.tsv)), to identify which notes relate to climate change.