README.md

metadata

license: mit
task_categories:
  - text-classification
language:
  - en
tags:
  - movies
  - sensitivity
  - content-warnings
  - recommendation-systems
size_categories:
  - 10K<n<100K
configs:
  - config_name: trait_sensitivity
    default: true
    data_files:
      - split: train
        path: movie_trait_sensitivity.csv
  - config_name: ddd_raw
    data_files:
      - split: train
        path: imdb_sensitivity_table.csv

IMDb Movie Sensitivity Dataset

This dataset provides sensitivity scores for movies based on 20 user traits, combining data from:

• Does the Dog Die (DDD): Fine-grained content warnings from crowd-sourced votes
• IMDb Parent Guide: Coarse-grained severity ratings (Sex & Nudity, Violence & Gore, Profanity, Alcohol/Drugs, Frightening Scenes)

Dataset Configurations

trait_sensitivity (default)

Fused sensitivity scores for 61,424 movies across 20 traits.

from datasets import load_dataset
ds = load_dataset("Dionysianspirit/imdb-sensitivity-table")

ddd_raw

Raw DDD voting data for 32,604 movies.

from datasets import load_dataset
ds = load_dataset("Dionysianspirit/imdb-sensitivity-table", "ddd_raw")

Schema (trait_sensitivity)

Column	Description
imdbId	7-digit IMDb ID (string)
{trait}_final	Final sensitivity score (0-1)
{trait}_unsafe	Boolean: score >= 0.66 threshold
{trait}_source	Source: "DDD", "ParentGuide", "Both", or "None"

20 Traits

1. Animal lover (avoid animal harm/death)
2. Arachnophobia / reptile phobia
3. Anti-gore / squeamish
4. Avoid torture & extreme violence
5. Sexual violence sensitive
6. Kid-safety / child harm sensitive
7. Domestic abuse / stalking sensitive
8. Substance recovery / avoid drugs & alcohol
9. Self-harm & suicide sensitive
10. Mental health portrayal sensitive
11. Medical/health trauma avoider
12. Needle/medical procedure phobia
13. Claustrophobia / breathing distress sensitive
14. Photosensitivity & motion sickness
15. Hate speech / slur-sensitive
16. Gender/LGBTQ respect sensitive
17. Pregnancy/infant-loss sensitive
18. Disaster/accident avoider
19. Happy-ending preference
20. Horror avoider (avoids scares & supernatural)

Fusion Formula

final_score = max(ddd_trigger, pg_risk)
unsafe = final_score >= 0.66

where:
  ddd_trigger = 1 if any DDD warning is triggered, else 0
  pg_risk = (weights · severity) / (3 * sum(weights))

Citation

If you use this dataset, please cite the original data sources:

• Does the Dog Die: https://www.doesthedogdie.com/
• IMDb Parent Guide: https://www.kaggle.com/datasets/barryhaworth/imdb-parental-guide