NoeFlandre/georeset-text-label-benchmark
GeoReset text-label benchmark Author: Noé Flandre Results Exact-match accuracy is agreement with the frozen, pipeline/source-derived target label; it is not human truth. Yes and No are sentence land-use-relevance sampling strata, not prediction targets. They carry forward LFM2.5-2.6B relevance labels, not human judgments. These balanced samples do not estimate population prevalence. Invalid or truncated outputs count as incorrect; all outputs in the completed… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/georeset-text-label-benchmark.
| Author / organization | NoeFlandre |
|---|---|
| License (as declared) | other |
| Downloads | 462 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 October 2026 |
| Last updated at source | 19 October 2026 |
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462 now (+280 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 19 Oct 2026 Description: GeoReset text-label benchmark: Description/EUNIS overlap Author: Noé Flandre This dataset pairs exact Description sentence occurrences whose land-use relevance label is yes with an existing EUNIS assignment on the corresponding OpenStreetMa → GeoReset text-label benchmark Author: Noé Flandre Results Exact-match accuracy is agreement with the frozen, pipeline/source-derived target label; it is not human truth. Yes and No are sentence land-use-relevance sampling strata, not predic
- 19 Oct 2026 Topics added lucas
- 18 Oct 2026 Topics added worldcover, land-cover-evaluation
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