perplexity
draco
DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity
The DRACO Benchmark consists of complex, open-ended research tasks with expert-curated rubrics for evaluating deep research systems. Tasks span 10 domains and require drawing on information sources from 40 countries. Each task is paired with a detailed, task-specific rubric featuring an average of ~40 evaluation criteria across four axes: factual accuracy, breadth and depth of analysis… See the full description on the dataset page: https://huggingface.co/datasets/perplexity-ai/draco.browsesafe-bench
Dataset Card for BrowseSafe-Bench
Dataset Details
Dataset Description
BrowseSafe-Bench is a comprehensive security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTML environments. Unlike prior benchmarks that focus on simple text injections, BrowseSafe-Bench emphasizes environmental realism, incorporating complex HTML structures, diverse attack semantics, and benign "distractor"… See the full description on the dataset page: https://huggingface.co/datasets/perplexity-ai/browsesafe-bench.olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-perplexity-filters
Dataset Card for "olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295-perplexity-filters"
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languagewise_perplexity_aya_datasetwandr
WANDR
Overview and provenance
WANDR (Wide ANd Deep Research) is a benchmark of 500 realistic, structured,
high-volume web research tasks. This dataset is a task-and-verification corpus,
not a question/answer collection: it contains no solver outputs or reference
answer sets. WANDR evaluation refetches cited pages and judges submitted records
against task-specific, reference-free specifications.
See the paper, the
blog,
and the evaluation repository.… See the full description on the dataset page: https://huggingface.co/datasets/perplexity-ai/wandr.PII-TRACE
PII-TRACE
PII-TRACE is a synthetic dataset for privacy-focused named entity recognition (NER) of personally identifiable information (PII), released as a 500-conversation subset of multi-turn dialogues with exact span annotations.
Dataset summary
This release contains 500 conversations with 2,653 annotated PII spans across nine labels. Among them, 450 conversations contain PII spans and 50 contain none.
Data format
Each record contains:
Field… See the full description on the dataset page: https://huggingface.co/datasets/perplexity-ai/PII-TRACE.