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Dataset card written from measured statistics

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README.md CHANGED
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  ---
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- annotations_creators:
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- - found
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- language_creators:
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- - found
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  language:
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  - ru
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- license: mit
 
 
 
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  multilinguality:
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  - monolingual
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- pretty_name: cedr-m7
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  size_categories:
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  - 1K<n<10K
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  source_datasets:
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  task_categories:
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  - text-classification
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  task_ids:
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- - sentiment-classification
 
 
 
 
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  ---
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- # Dataset Card for CEDR-M7
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-
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- ## Table of Contents
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- - [Table of Contents](#table-of-contents)
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- - [Dataset Description](#dataset-description)
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- - [Dataset Summary](#dataset-summary)
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- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- - [Languages](#languages)
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- - [Dataset Structure](#dataset-structure)
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- - [Data Instances](#data-instances)
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- - [Data Fields](#data-fields)
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- - [Data Splits](#data-splits)
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- - [Dataset Creation](#dataset-creation)
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- - [Curation Rationale](#curation-rationale)
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- - [Source Data](#source-data)
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- - [Annotations](#annotations)
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- - [Personal and Sensitive Information](#personal-and-sensitive-information)
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- - [Considerations for Using the Data](#considerations-for-using-the-data)
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- - [Social Impact of Dataset](#social-impact-of-dataset)
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- - [Discussion of Biases](#discussion-of-biases)
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- - [Other Known Limitations](#other-known-limitations)
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- - [Additional Information](#additional-information)
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- - [Dataset Curators](#dataset-curators)
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- - [Licensing Information](#licensing-information)
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- - [Citation Information](#citation-information)
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- - [Contributions](#contributions)
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-
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- ## Dataset Description
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-
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- - **Homepage:**
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- - **Repository:**
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- - **Paper:**
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- - **Leaderboard:**
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- - **Point of Contact:**
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-
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- ### Dataset Summary
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-
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- [More Information Needed]
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-
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- ### Supported Tasks and Leaderboards
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-
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- [More Information Needed]
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-
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- ### Languages
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-
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- [More Information Needed]
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-
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- ## Dataset Structure
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-
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- ### Data Instances
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-
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- [More Information Needed]
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-
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- ### Data Fields
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- [More Information Needed]
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- ### Data Splits
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- [More Information Needed]
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- ## Dataset Creation
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- ### Curation Rationale
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- [More Information Needed]
 
 
 
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- [More Information Needed]
 
 
 
 
 
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- #### Who are the source language producers?
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- [More Information Needed]
 
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- ### Annotations
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-
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- #### Annotation process
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- [More Information Needed]
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- #### Who are the annotators?
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- [More Information Needed]
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- ### Personal and Sensitive Information
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- [More Information Needed]
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- [More Information Needed]
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- ### Discussion of Biases
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- [More Information Needed]
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- ### Other Known Limitations
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- [More Information Needed]
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-
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- ## Additional Information
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- ### Dataset Curators
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- [More Information Needed]
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- ### Licensing Information
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- [More Information Needed]
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- ### Citation Information
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- ```
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  @misc{Aniemore,
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  author = {Артем Аментес, Илья Лубенец, Никита Давидчук},
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  title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},
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  }
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  ```
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- ### Contributions
 
 
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- Thanks to [@toiletsandpaper](https://github.com/toiletsandpaper) for adding this dataset.
 
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  ---
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+ license: mit
 
 
 
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  language:
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  - ru
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+ annotations_creators:
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+ - crowdsourced
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+ language_creators:
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+ - expert-generated
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  multilinguality:
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  - monolingual
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+ pretty_name: CEDR M7
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  size_categories:
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  - 1K<n<10K
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  source_datasets:
 
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  task_categories:
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  - text-classification
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  task_ids:
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+ - multi-label-classification
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+ tags:
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+ - emotion-recognition
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+ - russian
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+ - text
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  ---
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+ ![CEDR M7](assets/banner.svg)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # CEDR M7
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+ Russian text emotion corpus, adapted to seven Aniemore classes.
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+ ## Provenance
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+ **This corpus is not ours.** It is an adaptation: the source is [`sagteam/cedr_v1`](https://huggingface.co/datasets/sagteam/cedr_v1), and Aniemore's contribution is remapping it onto the seven classes the rest of the library uses. Credit for the collection and the original annotation belongs to the CEDR authors.
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+ ## Splits
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+ | Split | Rows | Mean words |
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+ |---|---:|---:|---:|
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+ | `train` | 7528 | — | 14.8 |
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+ | `test` | 1882 | — | 14.6 |
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+ <img src="assets/classes.svg" alt="Class distribution" width="760">
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+ ## Fields
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+ | Column | Meaning |
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+ |---|---|
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+ | `text` | Transcript of the utterance |
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+ | `labels` | Emotion labels, multi-label |
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+ | `source` | Where the text came from |
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+ | `label2ids` | Label indices in the source ordering |
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+ ## Usage
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("Aniemore/cedr-m7")
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+ print(ds["train"][0]["text"], ds["train"][0]["labels"])
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+ ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## Limitations
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+ `disgust` is effectively absent: 17 rows in `train`, 3 rows in `test`. Any per-class number for it is noise, and it drags macro averages down. The class distribution is otherwise heavily skewed toward `neutral`.
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+ ## Citation
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+ ```bibtex
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  @misc{Aniemore,
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  author = {Артем Аментес, Илья Лубенец, Никита Давидчук},
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  title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},
 
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  }
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  ```
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+ Please also cite the original CEDR corpus, [`sagteam/cedr_v1`](https://huggingface.co/datasets/sagteam/cedr_v1).
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+
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+ ## License
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+ MIT.
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