Sentiment, NER, chat, instruction-tuning, QA, summarization, and translation data in JSON Lines and JSON, for testing NLP loaders, tokenizers, and format converters.
Each card starts with one representative test file. Choose a use case, search, or filter to find a specific profile; a card’s variant menu contains its related samples.
29 test families · 34 available files · Page 1 of 2
Speech
JSON Lines ASR training/eval set for the Wave B synthetic digit utterances: each row points at a clean WAV and carries the expected transcript.
Nlp
The same synthetic conversations in the Anthropic Messages JSONL shape: a top-level system prompt plus a messages array of user and assistant turns. The format twin of the OpenAI file, for testing chat-format conversion.
Nlp
Hierarchical category labels for taxonomy-aware classifiers.
Nlp
Imbalanced label distribution: 2 rare vs 8 common rows.
Nlp
Intent classification JSONL for dialog systems.
Nlp
Language identification JSONL with EN/ES pairs.
Nlp
Multi-label classification JSONL with two labels per row.
Nlp
Topic classification rows for news routing tests.
Nlp
Binary toxicity labels for moderation model eval.
Nlp
Zero-shot candidate label lists per text for NLI-style classifiers.
Nlp
An extractive question-answering dataset in the SQuAD v2.0 JSON structure, titled articles with context paragraphs, questions, character-offset answers, and one deliberately unanswerable question. Synthetic content; a fi
Vision
Six synthetic image-caption pairs in JSON Lines, for testing captioning loaders and vision-language eval harnesses.
Nlp
An instruction-tuning dataset in the Alpaca JSONL format: 20 instruction / input / output triples covering small transformations, extraction, and factual answers. Fully synthetic; a fixture for supervised fine-tuning pip
Ranking
Query-document relevance grades for learning-to-rank training and eval.
Rag
A short Markdown document in the mini RAG corpus (doc-a.md). Retrieve against the paired queries JSON.
Vision
DE image captions referencing Wave F detection scenes.
Vision
EN image captions referencing Wave F detection scenes.
Vision
ES image captions referencing Wave F detection scenes.
