datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cross-lingual-pitfalls
Cross-Lingual Pitfalls
Cross-Lingual Pitfalls is a fixed, failure-focused dataset from the ACL 2025 paper "Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models." It contains 6,713 bilingual English-to-target-language question pairs across 16 target languages. The paper's search-based multilingual LLM evaluation method uses beam search and LLM-based simulation to discover cases where a model answers correctly in English but fails… See the full description on the dataset page: https://huggingface.co/datasets/xzx34/cross-lingual-pitfalls.rgad-crosslingual-tts-10h
RGAD Cross-Lingual TTS 10h
This is a 10-hour cross-lingual TTS dataset for prompt-conditioned Chinese TTS fine-tuning.
Format
The dataset contains:
train.jsonl
dev.jsonl
metadata.csv
audio/prompts/*.wav
audio/targets/*.wav
Each JSONL row has this format:
{"id":"sample_000001","prompt_wav":"audio/prompts/sample_000001.wav","target_wav":"audio/targets/sample_000001.wav","text":"中文目标文本。","prompt_language":"en-US","target_language":"zh-CN"… See the full description on the dataset page: https://huggingface.co/datasets/isabeth/rgad-crosslingual-tts-10h.