datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
german-public-sector
Dataset Card for public_sector_QA
Dataset Summary
public_sector_QA is a German-language question answering dataset focused on public sector and administrative-domain content. The file contains curated QA samples with source context and LLM-as-a-judge evaluation metadata.
This dataset was created from top-20-percent filtered outputs of three evaluated source files:
anlage-5-handbuch-offene-verwaltungsdaten_1_evaluated_top_20_percent.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/Anirbanbhk/german-public-sector.german-public-sector-c_dbr
Dataset Card for public_sector_c_dbr_QA
Dataset Summary
public_sector_c_dbr_QA is a German-language QA dataset for public-sector and legal-administrative content. The dataset includes question, answer, source context, and LLM-as-a-judge quality metadata.
Dataset Files
Main file: public_sector_c_dbr_QA.jsonl
Base evaluated file: c_dbr_evaluated_top_20_percent.jsonl
Suggested split mapping: train only
Record Counts… See the full description on the dataset page: https://huggingface.co/datasets/Anirbanbhk/german-public-sector-c_dbr.aim-act-refrigerant-gwp-sector-limits
US AIM Act sector-specific refrigerant GWP limits and compliance dates (40 CFR 84.54)
Canonical, always-current version: https://referencesource.org/aim-act-refrigerant-gwp-sector-limits/
Machine-readable: https://referencesource.org/aim-act-refrigerant-gwp-sector-limits/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-06
Stale after: 2027-02-02 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 71… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/aim-act-refrigerant-gwp-sector-limits.sectorial-llm-collection
🧠 Sectorial LLM Collection
Colección curada de modelos especializados por sector en HuggingFace, junto con los papers clave sobre fine-tuning sectorial (domain adaptation).
📊 Sectores cubiertos (10)
Sector
# Modelos
Descripción
🌾 Agricultura
9
BERT, Llama, Qwen, Gemma para plagas, cultivos, NER agrícola
⚖️ Legal
10
Legal-BERT, SBERT legal, NER jurídico, LLMs para derecho indio/brasilero/español
✈️ Turismo
9
Forecasting, clasificadores, LLMs para QA… See the full description on the dataset page: https://huggingface.co/datasets/pauvanbr/sectorial-llm-collection.bwb-gics-sector-intel
GICS Sector Intelligence
BWB Data Store. 250 records. omega_id, source_family, gics_sector, timestamp, region, entities, metadata, payload.
Buy full dataset: https://data.bankingwithbilly.com/dataset/gics-sector-intel
CC BY 4.0 — Banking With Billy
cyberscale-sector-dependenciesus-finance-sector-datasetshtl-PQuADParty_And_Government_Sector