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ASR Digit Utterances Dataset (JSONL)

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.

File: JSONL · Speech · 8 records
Use case: ASR testingML training data+1

BM25 Retrieval Scores (JSON)

BM25 score snapshot for comparing neural rerankers against a lexical baseline.

File: JSON · Ranking
Use case: Model evaluationJSON parsing

Caption Dataset Manifest (JSON)

Manifest linking Wave F scene PNGs to per-language caption JSONL files.

File: JSON · Vision
Use case: Computer visionJSON parsing

Caption Eval References (JSON)

Multiple reference captions per image for BLEU/CIDEr caption eval.

File: JSON · Vision
Use case: Model evaluation

Chat Fine-tuning Dataset — Anthropic Format (JSONL)

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.

File: JSONL · Nlp
Use case: ML training dataNLP datasets+1· Conversion set

Chat Fine-tuning Dataset — OpenAI Format (JSONL)

A chat fine-tuning dataset in the OpenAI JSONL format — one conversation per line as a messages array with system, user, and assistant turns. Synthetic Q&A content. Paired with an Anthropic-format twin for testing format converters.

File: JSONL · Nlp
Use case: ML training dataNLP datasets+1· Conversion set

Classification Dataset — Hierarchical (JSONL)

Hierarchical category labels for taxonomy-aware classifiers.

File: JSONL · Nlp · 8 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Imbalanced (JSONL)

Imbalanced label distribution — 2 rare vs 8 common rows.

File: JSONL · Nlp · 10 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Intent (JSONL)

Intent classification JSONL for dialog systems.

File: JSONL · Nlp · 8 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Language Id (JSONL)

Language identification JSONL with EN/ES pairs.

File: JSONL · Nlp · 8 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Multilabel (JSONL)

Multi-label classification JSONL with two labels per row.

File: JSONL · Nlp · 8 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Topic (JSONL)

Topic classification rows for news routing tests.

File: JSONL · Nlp · 8 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Toxicity (JSONL)

Binary toxicity labels for moderation model eval.

File: JSONL · Nlp · 8 records
Use case: ML training dataNLP datasets+1

Classification Dataset — Zero Shot (JSONL)

Zero-shot candidate label lists per text for NLI-style classifiers.

File: JSONL · Nlp · 6 records
Use case: ML training dataNLP datasets+1

Classification Label Map (JSON)

Label id/name map companion for Wave F classification JSONL fixtures.

File: JSON · Nlp
Use case: ML training dataJSON parsing

Classification Report (JSON)

A per-class classification report in the scikit-learn structure — precision, recall, F1, and support for each class plus accuracy and macro/weighted averages. A fixture for testing metric parsers and report renderers.

File: JSON · Eval
Use case: Model evaluationJSON parsing

Confusion Matrix — 3 Classes (CSV)

3×3 confusion matrix CSV for classification metric calculators.

File: CSV · Eval
Use case: Model evaluationCSV parsing· Conversion set

Confusion Matrix — 3 Classes (JSON)

JSON twin of the 3-class confusion matrix.

File: JSON · Eval
Use case: Model evaluationJSON parsing· Conversion set

Confusion Matrix — 3-class (CSV)

A 3-class confusion matrix as CSV — rows are the true class, columns the predicted class, cells the counts. Paired with a JSON twin for testing metric parsers and evaluation visualisers.

File: CSV · Eval
Use case: Model evaluationCSV parsing+1· Paired fixture

Confusion Matrix — 3-class (JSON)

The same 3-class confusion matrix as JSON — a labels array plus a nested counts matrix. The structured twin of the CSV, for testing evaluation tooling.

File: JSON · Eval
Use case: Model evaluationJSON parsing+1· Paired fixture

Confusion Matrix — 5 Classes (CSV)

5×5 confusion matrix with off-diagonal noise for multi-class eval.

File: CSV · Eval
Use case: Model evaluation· Conversion set

Confusion Matrix — 5 Classes (JSON)

JSON twin of the 5-class confusion matrix.

File: JSON · Eval
Use case: Model evaluation· Conversion set

Cosine Similarity Pairs (JSONL)

Precomputed cosine similarity pairs for embedding eval scripts.

File: JSONL · Embeddings · 6 records
Use case: Model evaluation

Detection Annotations — Aerial COCO (JSON)

COCO JSON with bounding boxes and polygon segmentation for the aerial scene.

File: JSON · Vision
Use case: Computer visionML training data+1