
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

For this dataset, we selected literary texts in Russian that are closest in style and subject matter to real diary entries, giving priority to texts written in the first person and paying considerable attention to the inner state of the characters. By parsing popular Internet resources with retellings of literary works, we received briefings for each of the works selected in the previous step and supplemented the dataset.

### Supported Tasks and Leaderboards

[Summarization]

### Languages

[Russian]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

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## Additional Information

### Dataset Curators

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### Licensing Information

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### Citation Information

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### Contributions

[More Information Needed]
task_categories:summarization size_categories:n<1K language:ru license:openrail art region:us
{"language": ["ru"], "license": "openrail", "size_categories": ["n<1K"], "task_categories": ["summarization"], "tags": ["art"], "viewer": true}
TAGS
#task_categories-summarization #size_categories-n<1K #language-Russian #license-openrail #art #region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

For this dataset, we selected literary texts in Russian that are closest in style and subject matter to real diary entries, giving priority to texts written in the first person and paying considerable attention to the inner state of the characters. By parsing popular Internet resources with retellings of literary works, we received briefings for each of the works selected in the previous step and supplemented the dataset.

### Supported Tasks and Leaderboards

[Summarization]

### Languages

[Russian]

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and 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 Dataset Name ## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

For this dataset, we selected literary texts in Russian that are closest in style and subject matter to real diary entries, giving priority to texts written in the first person and paying considerable attention to the inner state of the characters. By parsing popular Internet resources with retellings of literary works, we received briefings for each of the works selected in the previous step and supplemented the dataset. ### Supported Tasks and Leaderboards

[Summarization] ### Languages

[Russian] ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and 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-summarization #size_categories-n<1K #language-Russian #license-openrail #art #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

For this dataset, we selected literary texts in Russian that are closest in style and subject matter to real diary entries, giving priority to texts written in the first person and paying considerable attention to the inner state of the characters. By parsing popular Internet resources with retellings of literary works, we received briefings for each of the works selected in the previous step and supplemented the dataset. ### Supported Tasks and Leaderboards

[Summarization] ### Languages

[Russian] ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and 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-summarization #size_categories-n<1K #language-Russian #license-openrail #art #region-us 
# Dataset Card for Dataset Name## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact:### Dataset Summary

For this dataset, we selected literary texts in Russian that are closest in style and subject matter to real diary entries, giving priority to texts written in the first person and paying considerable attention to the inner state of the characters. By parsing popular Internet resources with retellings of literary works, we received briefings for each of the works selected in the previous step and supplemented the dataset.### Supported Tasks and Leaderboards

[Summarization]### Languages

[Russian]## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions