datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pmc-oa-markdown-qa-results
A hard biological benchmark that requires search
The goal of a model in drug discovery is to find the right information and make a solid conclusion. This benchmark was synthesized from a total of 6 semantically similar papers, and if a model is able to rediscover these papers on its own through search or retrieval, it will have a good shot at being able to answer the question correctly.
The evaluation dataset was adversarially constructed so that DeepSeek R1:
could correctly… See the full description on the dataset page: https://huggingface.co/datasets/casperhansen/pmc-oa-markdown-qa-results.telelogs_markdown
TeleLogs Dataset (Processed MCQ Format)
This dataset has been extracted from the original netop/TeleLogs dataset and processed into multiple-choice question (MCQ) format for easier evaluation.
Dataset Description
TeleLogs is a telecommunications log analysis benchmark where models must identify the root cause of network issues from 5G wireless network drive-test data and engineering parameters.
Processed Format
This version has been restructured for MCQ… See the full description on the dataset page: https://huggingface.co/datasets/emolero/telelogs_markdown.markdown-table-expert
Markdown Table Expert
A large-scale dataset for teaching language models to read, understand, and reason over markdown tables. Contains 44,000 samples (40,000 train + 4,000 validation) spanning 35 real-world domains with detailed step-by-step reasoning traces.
Why This Dataset
Markdown tables are everywhere — in documentation, reports, READMEs, financial statements, and web content. Yet most LLMs struggle with structured tabular data, especially when asked to perform… See the full description on the dataset page: https://huggingface.co/datasets/cetusian/markdown-table-expert.