Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
English
Size:
1K - 10K
License:
YAML Metadata Error:Invalid content in eval.yaml.
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✖ `evaluation_framework` must be omitted or one of: exgentic, inspect-ai, math-arena, mteb, olmocr-bench, harbor, ifstruct, pier, redline-bench, archipelago, benchflow, apex-evals, screenspot-pro, swe-bench, swe-bench-pro, nemo-evaluator, yc-bench, open-asr-leaderboard, mdpbench, real5-omnidocbench, parsebench, video-mme-v2, claw-eval, researchclawbench, pbench, wildclawbench, wbench, nanofold, mmmu, extractbench
→ at evaluation_framework
| name: ParseEmbed | |
| description: > | |
| ParseEmbed is a hard retrieval benchmark for embedding models. It measures | |
| semantic scope, formatting-sensitive meaning, and table cell grounding under | |
| near-duplicate hard negatives. | |
| evaluation_framework: parseembed | |
| tasks: | |
| - id: mean | |
| config: parse-embed | |
| split: mean | |
| - id: text_formatting | |
| config: parse-embed | |
| split: text_formatting | |
| - id: table | |
| config: parse-embed | |
| split: table | |