SloPal / README.md
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---
dataset_info:
features:
- name: session_num
dtype: int64
- name: snapshot
dtype: date32
- name: session_name
dtype: string
- name: segment_num
dtype: int64
- name: speaker
dtype: string
- name: first_name
dtype: string
- name: last_name
dtype: string
- name: role
dtype: string
- name: transcript
dtype: string
- name: transcriber_notes
sequence: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 516425482
num_examples: 330183
download_size: 287318835
dataset_size: 516425482
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-generation
- text-classification
language:
- sk
tags:
- legal
- politic
- transcripts
- parliament
- slovak
pretty_name: Slovak Plenary Transcript Corpus (2001–2024)
size_categories:
- 100K<n<1M
license: cc-by-4.0
---
# Slovak Plenary Transcript Corpus (2001–2024)
This dataset contains segmentated full-text transcripts of the **Slovak National Council** (Národná rada Slovenskej republiky) plenary sessions, covering a **23-year period from 2001 to 2024**. The transcripts were collected by scraping official `.docx` documents from the [Spoločná česko-slovenská digitálna parlamentná knižnica](https://www.nrsr.sk/dl/) and subsequently parsing it.
## 📌 Dataset Summary
- Total of **66,412,216 words**
- Total of **220,721,383 tokens** (estimated using GPT-2 tokenizer)
- Structured into speech segments with speaker names, roles
- Includes contextual notes from transcribers (e.g., background noise, references)
- Suitable for speech modeling, political discourse analysis, and Slovak NLP
## 📁 Data Structure
Each dataset sample is a dictionary with the following fields:
```json
{
"id": 2183662,
"session_num": 31,
"snapshot": "2018-05-16",
"session_name": "Autorizovaná rozprava",
"segment_num": 56,
"speaker": "Bugár, Béla, podpredseda NR SR",
"first_name": "Béla",
"last_name": "Bugár",
"role": "podpredseda NR SR",
"transcript": "Vážené panie poslankyne, páni poslanci, pristúpime k hlasovaniam. Prosím pána poslanca Laurenčíka, aby uviedol hlasovanie o návrhu uznesenia. (Ruch v sále.) Vážené panie poslankyne, páni poslanci, prosím o väčší kľud. Budeme hlasovať o návrhu na vyslanie príslušníkov ozbrojených síl Slovenskej republiky v rámci Posilnenej predsunutej prítomnosti NATO do Lotyšskej republiky, Litovskej republiky, Estónskej republiky a Poľskej republiky (tlač 977).",
"transcriber_notes": ["(Ruch v sále.)", "(tlač 977)"]
}
```
### 🔍 Field Descriptions
- **`id`**: Unique identifier of the row
- **`session_num`**: Number of the session in the current election term
- **`snapshot`**: Date on which the session took place
- **`session_name`**: Name under which the session was listed
- **`segment_num`**: Index of the speech segment within the session
- **`speaker`**: Raw string capturing the full speaker line
- **`first_name`**: Speaker’s parsed first name. This may sometimes be an initial (e.g., **B** in the case of **B. Bugár**).
- **`last_name`**: Speaker’s parsed last name
- **`role`**: Speaker’s official role at the time of the session
- **`transcript`**: Full text of the speaker’s utterance
- **`transcriber_notes`**: A list of in-transcript contextual notes (e.g., background noise, document references)
> 💡 **Note:**
> The fields `first_name`, `last_name`, and `role` were derived from the original `speaker` field using **regex** or **manual inspection**. Similarly, the `transcriber_notes` field was extracted using **regex matching**.
A session is uniquely identified by the combination of `session_num` and `session_name`. In rare cases, these fields may be null. Such edge cases typically did not follow typical regular patterns and could not be reliably identified.
Each `segment_num` represents a sequential speech segment within the session.
## 📝 Citation & Paper
For more details, please see our paper on [arXiv](https://arxiv.org/abs/2509.19270). If you use this dataset in your work, please cite it as:
```bibtex
@misc{božík2025slopalspeech2800hourslovakspeech,
title={SloPalSpeech: A 2,800-Hour Slovak Speech Corpus from Parliamentary Data},
author={Erik Božík and Marek Šuppa},
year={2025},
eprint={2509.19270},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2509.19270},
}
```