
# Dataset Card for ClarinPL Sejm/Senat Speech Corpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [CLARIN-PL mowa](https://mowa.clarin-pl.eu/)
- **Repository:** [Needs More Information]
- **Paper:** [System for Automatic Transcription of Sessions of the Polish Senate](https://acoustics.ippt.pan.pl/index.php/aa/article/view/327/pdf_32)
- **Leaderboard:** [Paperswithcode Leaderboard][Needs More Information]
- **Point of Contact:** [Needs More Information]

### Dataset Summary

A collection of 97 hours of parliamentary speeches published on the ClarinPL website.

### Supported Tasks and Leaderboards

[Needs More Information]

### Languages

The audio is in Polish.

## Dataset Structure

### Data Instances

A typical data point comprises the path to the audio file, usually called `file` and its transcription, called `text`.
An example from the dataset is:
```
{'file': '/root/.cache/huggingface/datasets/downloads/extracted/4143b1d75559b10028c1c7e8800c9ccc05934ca5a8ea15f8f9a92770576a1ee3/SejmSenat/audio/AdamAbramowicz-20130410/file000.wav',
 'id': 'AdamAbramowicz-20130410-file000',
 'speaker_id': 'AdamAbramowicz',
 'text': 'panie marszałku wysoka izbo panie ministrze próbuje się przedstawiać polskę jako zieloną wyspę kraj który się szybko rozwija tymczasem rzeczywistość jest zupełnie inna a widać ją także dzisiaj przed polskim parlamentem próbuje się rząd próbuje zagonić polaków do pracy aż do śmierci przedłużać wiek emerytalny czyliczyli sytuacja gospodarcza polski w tym wypadku jest przedstawiana już zupełnie inaczej pakiet klimatyczny i protokół z kioto jak się zgadzają fachowcy od gospodarki jest szkodliwy dla krajów które są na dorobku a polska właśnie jest takim krajem'}
 ```

### Data Fields

- file: A path to the downloaded audio file in .wav format.
- text: the transcription of the audio file.
- speaker_id: The ID of the speaker of the audio.

### Data Splits

|       | Train | Test |
| ----- | ----- | ---- | 
| dataset | 6622 | 130 |  



## Dataset Creation

### Curation Rationale

[Needs More Information]

### Source Data

#### Initial Data Collection and Normalization

[Needs More Information]

#### Who are the source language producers?

[Needs More Information]

### Annotations

#### Annotation process

[Needs More Information]

#### Who are the annotators?

[Needs More Information]

### Personal and Sensitive Information

[Needs More Information]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[Needs More Information]

## Additional Information

### Dataset Curators

[Needs More Information]

### Licensing Information

[Needs More Information]

### Citation Information

[Needs More Information]

### Contributions

[Needs More Information]
task_categories:other task_categories:automatic-speech-recognition annotations_creators:expert-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:pl license:other region:us
{"annotations_creators": ["expert-generated"], "language": ["pl"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["other", "automatic-speech-recognition"], "task_ids": []}
TAGS
#task_categories-other #task_categories-automatic-speech-recognition #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-other #region-us 

Dataset Card for ClarinPL Sejm/Senat Speech Corpus
==================================================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ 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
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: CLARIN-PL mowa
* Repository:
* Paper: System for Automatic Transcription of Sessions of the Polish Senate
* Leaderboard: [Paperswithcode Leaderboard]
* Point of Contact:


### Dataset Summary


A collection of 97 hours of parliamentary speeches published on the ClarinPL website.


### Supported Tasks and Leaderboards


### Languages


The audio is in Polish.


Dataset Structure
-----------------


### Data Instances


A typical data point comprises the path to the audio file, usually called 'file' and its transcription, called 'text'.
An example from the dataset is:


### Data Fields


* file: A path to the downloaded audio file in .wav format.
* text: the transcription of the audio file.
* speaker\_id: The ID of the speaker of the audio.


### Data Splits


Train: dataset, Test: 6622


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 Summary


A collection of 97 hours of parliamentary speeches published on the ClarinPL website. ### Supported Tasks and Leaderboards ### Languages


The audio is in Polish.


Dataset Structure
----------------- ### Data Instances


A typical data point comprises the path to the audio file, usually called 'file' and its transcription, called 'text'.
An example from the dataset is: ### Data Fields


* file: A path to the downloaded audio file in .wav format.
* text: the transcription of the audio file.
* speaker\_id: The ID of the speaker of the audio. ### Data Splits


Train: dataset, Test: 6622


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-other #task_categories-automatic-speech-recognition #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-other #region-us 
 ### Dataset Summary


A collection of 97 hours of parliamentary speeches published on the ClarinPL website. ### Supported Tasks and Leaderboards ### Languages


The audio is in Polish.


Dataset Structure
----------------- ### Data Instances


A typical data point comprises the path to the audio file, usually called 'file' and its transcription, called 'text'.
An example from the dataset is: ### Data Fields


* file: A path to the downloaded audio file in .wav format.
* text: the transcription of the audio file.
* speaker\_id: The ID of the speaker of the audio. ### Data Splits


Train: dataset, Test: 6622


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-other #task_categories-automatic-speech-recognition #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-other #region-us 
### Dataset Summary


A collection of 97 hours of parliamentary speeches published on the ClarinPL website.### Supported Tasks and Leaderboards### Languages


The audio is in Polish.


Dataset Structure
-----------------### Data Instances


A typical data point comprises the path to the audio file, usually called 'file' and its transcription, called 'text'.
An example from the dataset is:### Data Fields


* file: A path to the downloaded audio file in .wav format.
* text: the transcription of the audio file.
* speaker\_id: The ID of the speaker of the audio.### Data Splits


Train: dataset, Test: 6622


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