--- language: - pl license: cc-by-nc-4.0 license_name: cc-by-nc-4.0 task_categories: - automatic-speech-recognition tags: - polish - asr - bigos - political - debate - presidential-election-2025 size_categories: - n<1K pretty_name: Polish Presidential Debate 2025 (BIGOS-format) configs: - config_name: default data_files: - split: test path: data/test-*.parquet --- # Polish Presidential Debate 2025 (BIGOS-format) BIGOS-V2-compatible repackaging of `directtt/polish_presidential_debate` (Apache 2.0, Dudek et al. 2025) for use with the [BIGOS V3 platform](https://github.com/Trust-Quest/bigos_platform) ASR evaluation pipeline. 195 samples (13 candidates × ~15 utterances each) from the **TVP Polish Presidential Debate on 12 May 2025**. ## Source - **Upstream corpus**: `directtt/polish_presidential_debate` (Apache 2.0) - Pinned revision: `ae67d748a50d` - Audio source: DEBATA PREZYDENCKA TVP | 12.05.2025 - Authors: Dudek Marcel, Jerzykiewicz Sebastian, Rybczyński Jędrzej, Solarski Antoni (2025) - **Repackaging**: Michał Junczyk, AMU CAI (2026-05). BIGOS V2 schema mapping + Parquet conversion, no audio modification. ## Why a separate repo The upstream `directtt/polish_presidential_debate` ships as a script-based HF dataset (loader at `polish_presidential_debate.py`), which requires `trust_remote_code=True` to load. The BIGOS platform's ADR-040 policy blocks that flag for safety. This repository serves identical audio + transcripts as a static Parquet dataset, removing the policy block and enabling reproducible loading via plain `load_dataset()`. ## Sample distribution 13 candidates × 15 utterances each = 195 samples. Each candidate is a separate `dataset` subset value, enabling natural stratified sampling in the BIGOS scenario loader. ## Schema (BIGOS V2 compatible) | Column | Type | Description | |--------|------|-------------| | `audioname` | string | Unique sample identifier (e.g., `bartoszewicz_artur_0`) | | `audio` | Audio(16kHz) | WAV audio bytes | | `ref_orig` | string | Gold reference transcription | | `dataset` | string | Subset name = candidate (e.g., `bartoszewicz_artur`) | | `speaker_id` | string | Same as `dataset` (each candidate is one speaker) | | `speaker_gender` | string | `M` / `F` | | `speaker_age` | string | Speaker age (integer-as-string) | | `speech_type` | string | `read` / `spontaneous` | | `source` | string | `youtube` (TVP broadcast originally posted on YouTube) | | `locale` | string | always `pl` | ## License - **Original audio + transcripts**: Apache 2.0 (per upstream `directtt/polish_presidential_debate`) - **BIGOS schema mapping (this repo's curation)**: CC-BY-NC-4.0 When using this dataset, please cite the original authors: ```bibtex @misc{polish_presidential_debate, title = {Polish Presidential Debate ASR Dataset}, author = {Dudek Marcel, Jerzykiewicz Sebastian, Rybczyński Jędrzej, Solarski Antoni}, year = {2025} } ``` ## Usage ```python from datasets import load_dataset ds = load_dataset("amu-cai/polish_presidential_debate-2025", split="test") print(ds[0]["audioname"], ds[0]["ref_orig"][:80]) ``` ### BIGOS evaluation pipeline ```bash ./scripts/benchmark/run_long_eval.sh --scenario debate-test --sync-cache ```