baobabtech/evalexplorer-classify-experiments

EvalExplorer document classifier: experiments The question When an evaluation report enters EvalExplorer, the ingestion pipeline sends its first pages to a large LLM (gpt-oss-120b, with Gemini 2.5 Flash and Qwen 3 235B as fallbacks), which returns five labels: evaluation approach (mixed methods, experimental, ...), type (impact evaluation, systematic review, ...), timing (baseline, midterm, endline), themes (global health, governance, ...) and countries (ISO… See the full description on the dataset page: https://huggingface.co/datasets/baobabtech/evalexplorer-classify-experiments.

<iframe src="https://silytics.si/embed/item/15ec2142-f58f-4cca-b768-ea7ce9ddac71" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.