Datasets:
File size: 2,674 Bytes
b3a0b66 5823dfc b3a0b66 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 | ---
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.
```python
from datasets import load_dataset
ds = load_dataset("Dionysianspirit/imdb-sensitivity-table")
```
### `ddd_raw`
Raw DDD voting data for 32,604 movies.
```python
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
|