Datasets:
Tasks:
Tabular Regression
Formats:
parquet
Sub-tasks:
tabular-multi-class-classification
Size:
10K - 100K
License:
Upload README.md with huggingface_hub
Browse files
README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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language:
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- en
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- ru
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license: unknown
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multimodal:
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- text
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- tabular
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pretty_name: Shikimori Dataset
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size_categories:
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- n_10K
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source_datasets:
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- original
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task_categories:
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- tabular-regression
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task_ids:
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- tabular-multi-class-classification
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---
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# Shikimori Dataset
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Anime database from [Shikimori](https://shikimori.one) with user ratings, suitable for recommender systems and ML research.
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## Dataset Structure
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The dataset contains **3 separate data files**:
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### anime.parquet / anime.jsonl (9,950 entries)
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Anime titles with metadata.
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| Field | Type | Description |
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|-------|------|-------------|
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| id | int | Shikimori anime ID |
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| name | string | English name |
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| russian | string | Russian name |
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| description | string | Synopsis (BBCode) |
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| score | float | Average community score |
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| rating | string | Age rating (g, pg_13, r, etc.) |
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| episodes | int | Total episodes |
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| episodes_aired | int | Aired episodes (for ongoing) |
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| duration | int | Episode duration in minutes |
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| genres | dict | Genre IDs and names |
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| season | string | Season (e.g. fall_2023) |
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| aired_on | string | Premiere date |
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| released_on | string | Release date |
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| status | string | released/ongoing/anons |
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| studios | dict | Studio info |
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| is_censored | bool | Censored flag |
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### users_rates.parquet / users_rates.jsonl (67,071 entries)
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User anime viewing history and ratings.
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| Field | Type | Description |
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|-------|------|-------------|
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| id | int | Rate ID |
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| user_id | int | Shikimori user ID |
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| anime_id | int | Anime ID |
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| score | int | User's score (0 = unset) |
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| episodes | int | Episodes watched |
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| rewatches | int | Rewatch count |
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| created_at | string | First rate timestamp |
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| updated_at | string | Last update timestamp |
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### genres.parquet / genres.jsonl (80 entries)
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Genre reference table.
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| Field | Type | Description |
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|-------|------|-------------|
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| id | int | Genre ID |
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| name | string | English name |
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| russian | string | Russian name |
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## Use Cases
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- **Recommender Systems** (Collaborative Filtering, Matrix Factorization)
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- **Anime Classification** by genre/description
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- **Score Prediction** models
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- **User Behavior Analysis**
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- **LLM fine-tuning** for anime recommendations
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## Data Source
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Original scraped from Shikimori API. See: https://shikimori.one/api/doc
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## Notes
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- Anime descriptions contain BBCode formatting (`[character=id]name[/character]`)
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- Scores are community averages (float, 1-10 scale)
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- Users are anonymized by ID (not by name)
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- Dataset snapshot date: April 2026
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