Labelled, synthetic datasets in the shapes ML pipelines expect (JSONL for text tasks, image annotations, embeddings, and sample weights) for testing data loaders, tokenizers, and training tooling.
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.
49 test families · 73 available files · Page 1 of 3
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
Label id/name map companion for Wave F classification JSONL fixtures.
Vision
COCO JSON with bounding boxes and polygon segmentation for the aerial scene.
Vision
Object-detection annotations for the scene in the COCO JSON format: images, categories, and per-object bounding boxes as [x, y, width, height]. Grouped with YOLO and Pascal-VOC twins for testing annotation-format convers
Vision
COCO JSON with bounding boxes and polygon segmentation for the retail scene.
Vision
COCO JSON with bounding boxes and polygon segmentation for the warehouse scene.
Vision
The class-name list for the detection scene, one label per line: index equals the zero-based line number, matching the YOLO class ids. A companion to the COCO/YOLO/VOC annotation files.
Vision
Synthetic aerial detection scene with 2 labelled objects at known coordinates.
Embeddings
ID list and model metadata for the Wave F embedding set.
