MARKET RESEARCH

Paper-to-Dataset Crosswalk Brief

Finds new arXiv-style papers in your vertical via Exa, then matches each to related datasets on Hugging Face and writes a Notion brief linking each paper to the data needed…

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionFind recent papers in vertical via ExaExa
  • ActionExtract task and data requirementsOpenAI
  • ActionMatch each paper to Hugging Face datasetsHugging FaceHugging Face
  • LogicKeep papers with a strong dataset match
  • OutputWrite crosswalk brief to NotionNotionNotion

What it does

Bridges the gap between what researchers are publishing and what data exists to act on it. It surfaces recent papers in your vertical using Exa's neural search, then for each notable paper searches Hugging Face for datasets that match the paper's domain and task, and assembles a Notion brief that crosswalks paper → candidate datasets → reproduction notes.

When to use it

When your team reads papers and immediately asks "can we try this?" This turns that instinct into a standing artifact: every new paper arrives pre-paired with the datasets you'd need to replicate or build on it.

How it works

  1. 1A weekly cron triggers the run.
  2. 2Exa retrieves recent high-signal papers matching the vertical's topic queries.
  3. 3An LLM extracts each paper's task, domain, and data requirements.
  4. 4Hugging Face is searched for datasets matching those requirements.
  5. 5A logic step keeps only papers with at least one strong dataset match.
  6. 6A structured crosswalk page is written to Notion, one row per paper with linked datasets and notes.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.