
# Dataset Card for Novelupdates Webnovels


### Dataset Summary

This dataset contains information about webnovels from Novelupdates, a popular webnovel platform. It includes details such as novel ID, URL, title, associated names, cover image URL, show type, genres, tags, description, related series, recommendations, recommendation lists, rating, language, authors, artists, year, status, licensing information, translation status, publishers, release frequency, rankings, total reading list rank, and chapters.

### Supported Tasks and Leaderboards

The dataset can be used for various tasks such as text classification, zero-shot classification, and feature extraction. It currently does not have an established leaderboard.

### Languages

The dataset is primarily in English.

## Dataset Structure

### Data Instances

The dataset contains 14,713 data instances.

### Data Fields

The dataset includes the following fields:

- novel_id: integer
- url: string
- title: string
- associated_names: list of strings
- img_url: string
- showtype: string
- genres: list of strings
- tags: list of strings
- description: string
- related_series: struct
  - related_series: list of structs
    - title: string
    - url: string
  - total: integer
- recommendations: struct
  - recommendations: list of structs
    - recommended_user_count: integer
    - title: string
    - url: string
  - total: integer
- recommendation_lists: struct
  - list: list of structs
    - title: string
    - url: string
  - total: integer
- rating: string
- language: string
- authors: list of strings
- artists: list of strings
- year: string
- status_coo: string
- licensed: string
- translated: string
- publishers: list of strings
- en_pubs: list of strings
- release_frequency: string
- weekly_rank: string
- monthly_rank: string
- all_time_rank: string
- monthly_rank_reading_list: string
- all_time_rank_reading_list: string
- total_reading_list_rank: string
- chapters: struct
  - chapters: list of structs
    - title: string
    - url: string
  - total: integer

### Data Splits

The dataset includes a single split:
- Train: 11.8K examples
- Test:  2.94K examples

## Dataset Creation

### Curation Rationale

The dataset was curated to provide a comprehensive collection of webnovel information from Novelupdates for various text analysis tasks.

### Source Data

#### Initial Data Collection and Normalization

The initial data was collected from the Novelupdates website and normalized for consistency and structure.

#### Who are the source language producers?

The source language producers are the authors and publishers of the webnovels.

### Annotations

#### Annotation process

The dataset does not contain explicit annotations. It consists of the information available on the Novelupdates website.

#### Who are the annotators?

N/A

### Personal and Sensitive Information

The dataset does not include any personal or sensitive information.

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]
task_categories:text-classification task_categories:zero-shot-classification task_categories:feature-extraction size_categories:10K<n<100K language:en license:mit region:us
{"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "zero-shot-classification", "feature-extraction"], "pretty_name": "Novelupdates Dataset", "dataset_info": {"features": [{"name": "novel_id", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "associated_names", "sequence": "string"}, {"name": "img_url", "dtype": "string"}, {"name": "showtype", "dtype": "string"}, {"name": "genres", "sequence": "string"}, {"name": "tags", "sequence": "string"}, {"name": "description", "dtype": "string"}, {"name": "related_series", "struct": [{"name": "related_series", "list": [{"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "total", "dtype": "int64"}]}, {"name": "recommendations", "struct": [{"name": "recomendations", "list": [{"name": "recommended_user_count", "dtype": "int64"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "total", "dtype": "int64"}]}, {"name": "recommendation_lists", "struct": [{"name": "list", "list": [{"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "total", "dtype": "int64"}]}, {"name": "rating", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "authors", "sequence": "string"}, {"name": "artists", "sequence": "string"}, {"name": "year", "dtype": "string"}, {"name": "status_coo", "dtype": "string"}, {"name": "licensed", "dtype": "string"}, {"name": "translated", "dtype": "string"}, {"name": "publishers", "sequence": "string"}, {"name": "en_pubs", "sequence": "string"}, {"name": "release_frequency", "dtype": "string"}, {"name": "weekly_rank", "dtype": "string"}, {"name": "monthly_rank", "dtype": "string"}, {"name": "all_time_rank", "dtype": "string"}, {"name": "monthly_rank_reading_list", "dtype": "string"}, {"name": "all_time_rank_reading_list", "dtype": "string"}, {"name": "total_reading_list_rank", "dtype": "string"}, {"name": "chapters", "struct": [{"name": "chapters", "list": [{"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "total", "dtype": "int64"}]}], "splits": [{"name": "train", "num_bytes": 58948539.85115204, "num_examples": 11770}, {"name": "test", "num_bytes": 14739639.148847958, "num_examples": 2943}], "download_size": 22367283, "dataset_size": 73688179.0}}
TAGS
#task_categories-text-classification #task_categories-zero-shot-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-mit #region-us 


# Dataset Card for Novelupdates Webnovels


### Dataset Summary

This dataset contains information about webnovels from Novelupdates, a popular webnovel platform. It includes details such as novel ID, URL, title, associated names, cover image URL, show type, genres, tags, description, related series, recommendations, recommendation lists, rating, language, authors, artists, year, status, licensing information, translation status, publishers, release frequency, rankings, total reading list rank, and chapters.

### Supported Tasks and Leaderboards

The dataset can be used for various tasks such as text classification, zero-shot classification, and feature extraction. It currently does not have an established leaderboard.

### Languages

The dataset is primarily in English.

## Dataset Structure

### Data Instances

The dataset contains 14,713 data instances.

### Data Fields

The dataset includes the following fields:

- novel_id: integer
- url: string
- title: string
- associated_names: list of strings
- img_url: string
- showtype: string
- genres: list of strings
- tags: list of strings
- description: string
- related_series: struct
  - related_series: list of structs
    - title: string
    - url: string
  - total: integer
- recommendations: struct
  - recommendations: list of structs
    - recommended_user_count: integer
    - title: string
    - url: string
  - total: integer
- recommendation_lists: struct
  - list: list of structs
    - title: string
    - url: string
  - total: integer
- rating: string
- language: string
- authors: list of strings
- artists: list of strings
- year: string
- status_coo: string
- licensed: string
- translated: string
- publishers: list of strings
- en_pubs: list of strings
- release_frequency: string
- weekly_rank: string
- monthly_rank: string
- all_time_rank: string
- monthly_rank_reading_list: string
- all_time_rank_reading_list: string
- total_reading_list_rank: string
- chapters: struct
  - chapters: list of structs
    - title: string
    - url: string
  - total: integer

### Data Splits

The dataset includes a single split:
- Train: 11.8K examples
- Test:  2.94K examples

## Dataset Creation

### Curation Rationale

The dataset was curated to provide a comprehensive collection of webnovel information from Novelupdates for various text analysis tasks.

### Source Data

#### Initial Data Collection and Normalization

The initial data was collected from the Novelupdates website and normalized for consistency and structure.

#### Who are the source language producers?

The source language producers are the authors and publishers of the webnovels.

### Annotations

#### Annotation process

The dataset does not contain explicit annotations. It consists of the information available on the Novelupdates website.

#### Who are the annotators?

N/A

### Personal and Sensitive Information

The dataset does not include any personal or sensitive information.

## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# Dataset Card for Novelupdates Webnovels ### Dataset Summary

This dataset contains information about webnovels from Novelupdates, a popular webnovel platform. It includes details such as novel ID, URL, title, associated names, cover image URL, show type, genres, tags, description, related series, recommendations, recommendation lists, rating, language, authors, artists, year, status, licensing information, translation status, publishers, release frequency, rankings, total reading list rank, and chapters. ### Supported Tasks and Leaderboards

The dataset can be used for various tasks such as text classification, zero-shot classification, and feature extraction. It currently does not have an established leaderboard. ### Languages

The dataset is primarily in English. ## Dataset Structure ### Data Instances

The dataset contains 14,713 data instances. ### Data Fields

The dataset includes the following fields:

- novel_id: integer
- url: string
- title: string
- associated_names: list of strings
- img_url: string
- showtype: string
- genres: list of strings
- tags: list of strings
- description: string
- related_series: struct
  - related_series: list of structs
    - title: string
    - url: string
  - total: integer
- recommendations: struct
  - recommendations: list of structs
    - recommended_user_count: integer
    - title: string
    - url: string
  - total: integer
- recommendation_lists: struct
  - list: list of structs
    - title: string
    - url: string
  - total: integer
- rating: string
- language: string
- authors: list of strings
- artists: list of strings
- year: string
- status_coo: string
- licensed: string
- translated: string
- publishers: list of strings
- en_pubs: list of strings
- release_frequency: string
- weekly_rank: string
- monthly_rank: string
- all_time_rank: string
- monthly_rank_reading_list: string
- all_time_rank_reading_list: string
- total_reading_list_rank: string
- chapters: struct
  - chapters: list of structs
    - title: string
    - url: string
  - total: integer ### Data Splits

The dataset includes a single split:
- Train: 11.8K examples
- Test:  2.94K examples ## Dataset Creation ### Curation Rationale

The dataset was curated to provide a comprehensive collection of webnovel information from Novelupdates for various text analysis tasks. ### Source Data #### Initial Data Collection and Normalization

The initial data was collected from the Novelupdates website and normalized for consistency and structure. #### Who are the source language producers?

The source language producers are the authors and publishers of the webnovels. ### Annotations #### Annotation process

The dataset does not contain explicit annotations. It consists of the information available on the Novelupdates website. #### Who are the annotators?

N/A ### Personal and Sensitive Information

The dataset does not include any personal or sensitive information. ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#task_categories-text-classification #task_categories-zero-shot-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-mit #region-us 
 # Dataset Card for Novelupdates Webnovels ### Dataset Summary

This dataset contains information about webnovels from Novelupdates, a popular webnovel platform. It includes details such as novel ID, URL, title, associated names, cover image URL, show type, genres, tags, description, related series, recommendations, recommendation lists, rating, language, authors, artists, year, status, licensing information, translation status, publishers, release frequency, rankings, total reading list rank, and chapters. ### Supported Tasks and Leaderboards

The dataset can be used for various tasks such as text classification, zero-shot classification, and feature extraction. It currently does not have an established leaderboard. ### Languages

The dataset is primarily in English. ## Dataset Structure ### Data Instances

The dataset contains 14,713 data instances. ### Data Fields

The dataset includes the following fields:

- novel_id: integer
- url: string
- title: string
- associated_names: list of strings
- img_url: string
- showtype: string
- genres: list of strings
- tags: list of strings
- description: string
- related_series: struct
  - related_series: list of structs
    - title: string
    - url: string
  - total: integer
- recommendations: struct
  - recommendations: list of structs
    - recommended_user_count: integer
    - title: string
    - url: string
  - total: integer
- recommendation_lists: struct
  - list: list of structs
    - title: string
    - url: string
  - total: integer
- rating: string
- language: string
- authors: list of strings
- artists: list of strings
- year: string
- status_coo: string
- licensed: string
- translated: string
- publishers: list of strings
- en_pubs: list of strings
- release_frequency: string
- weekly_rank: string
- monthly_rank: string
- all_time_rank: string
- monthly_rank_reading_list: string
- all_time_rank_reading_list: string
- total_reading_list_rank: string
- chapters: struct
  - chapters: list of structs
    - title: string
    - url: string
  - total: integer ### Data Splits

The dataset includes a single split:
- Train: 11.8K examples
- Test:  2.94K examples ## Dataset Creation ### Curation Rationale

The dataset was curated to provide a comprehensive collection of webnovel information from Novelupdates for various text analysis tasks. ### Source Data #### Initial Data Collection and Normalization

The initial data was collected from the Novelupdates website and normalized for consistency and structure. #### Who are the source language producers?

The source language producers are the authors and publishers of the webnovels. ### Annotations #### Annotation process

The dataset does not contain explicit annotations. It consists of the information available on the Novelupdates website. #### Who are the annotators?

N/A ### Personal and Sensitive Information

The dataset does not include any personal or sensitive information. ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
passage: TAGS
#task_categories-text-classification #task_categories-zero-shot-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-mit #region-us 
# Dataset Card for Novelupdates Webnovels### Dataset Summary

This dataset contains information about webnovels from Novelupdates, a popular webnovel platform. It includes details such as novel ID, URL, title, associated names, cover image URL, show type, genres, tags, description, related series, recommendations, recommendation lists, rating, language, authors, artists, year, status, licensing information, translation status, publishers, release frequency, rankings, total reading list rank, and chapters.### Supported Tasks and Leaderboards

The dataset can be used for various tasks such as text classification, zero-shot classification, and feature extraction. It currently does not have an established leaderboard.### Languages

The dataset is primarily in English.## Dataset Structure### Data Instances

The dataset contains 14,713 data instances.