a13team/shikimori-dataset

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
- ru
license: unknown
multimodal:
- text
- tabular
pretty_name: Shikimori Dataset
size_categories:
- n_10K
source_datasets:
- original
task_categories:
- tabular-regression
task_ids:
- tabular-multi-class-classification
---

# Shikimori Dataset

Anime database from [Shikimori](https://shikimori.one) with user ratings, suitable for recommender systems and ML research.

## Dataset Structure

The dataset contains **3 separate data files**:

### anime.parquet / anime.jsonl (9,950 entries)
Anime titles with metadata.
| Field | Type | Description |
|-------|------|-------------|
| id | int | Shikimori anime ID |
| name | string | English name |
| russian | string | Russian name |
| description | string | Synopsis (BBCode) |
| score | float | Average community score |
| rating | string | Age rating (g, pg_13, r, etc.) |
| episodes | int | Total episodes |
| episodes_aired | int | Aired episodes (for ongoing) |
| duration | int | Episode duration in minutes |
| genres | dict | Genre IDs and names |
| season | string | Season (e.g. fall_2023) |
| aired_on | string | Premiere date |
| released_on | string | Release date |
| status | string | released/ongoing/anons |
| studios | dict | Studio info |
| is_censored | bool | Censored flag |

### users_rates.parquet / users_rates.jsonl (67,071 entries)
User anime viewing history and ratings.
| Field | Type | Description |
|-------|------|-------------|
| id | int | Rate ID |
| user_id | int | Shikimori user ID |
| anime_id | int | Anime ID |
| score | int | User's score (0 = unset) |
| episodes | int | Episodes watched |
| rewatches | int | Rewatch count |
| created_at | string | First rate timestamp |
| updated_at | string | Last update timestamp |

### genres.parquet / genres.jsonl (80 entries)
Genre reference table.
| Field | Type | Description |
|-------|------|-------------|
| id | int | Genre ID |
| name | string | English name |
| russian | string | Russian name |

## Use Cases

- **Recommender Systems** (Collaborative Filtering, Matrix Factorization)
- **Anime Classification** by genre/description
- **Score Prediction** models
- **User Behavior Analysis**
- **LLM fine-tuning** for anime recommendations

## Data Source

Original scraped from Shikimori API. See: https://shikimori.one/api/doc

## Notes

- Anime descriptions contain BBCode formatting (`[character=id]name[/character]`)
- Scores are community averages (float, 1-10 scale)
- Users are anonymized by ID (not by name)
- Dataset snapshot date: April 2026