datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task1448_disease_entity_extraction_ncbi_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1448_disease_entity_extraction_ncbi_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1448_disease_entity_extraction_ncbi_dataset.arxiv-funding-entity-extractions
arxiv-funding-entity-extractions
Funder/award entity extractions over cometadata/arxiv-funding-statements.
Extractor: funding-entity-extractor (vLLM + LoRA)
Base model: meta-llama/Llama-3.1-8B-Instruct
LoRA: cometadata/funding-extraction-llama-3.1-8b-instruct-artifact-data-mix-grpo-mixed-reward
Hardware: A100-large bf16, concurrency 256
Total rows: 1,823,650
Configs
predictions (default) — original extractions, no ROR enrichment.
predictions_with_ror — same rows… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/arxiv-funding-entity-extractions.funding-entity-extraction-dataset-mix
Funding Entity Extraction Dataset Mix
Training and evaluation corpus for funding-entity extraction from full text. This dataset is the data mix used to fine-tune cometadata/funding-extraction-llama-3.1-8b-instruct-artifact-data-mix-grpo-mixed-reward on top of meta-llama/Llama-3.1-8B-Instruct in two stages: SFT on the mix described below, followed by GRPO with a hierarchical F0.5 reward.
Loading the dataset
from datasets import load_dataset
# Default config (degraded… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/funding-entity-extraction-dataset-mix.task1449_disease_entity_extraction_bc5cdr_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1449_disease_entity_extraction_bc5cdr_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1449_disease_entity_extraction_bc5cdr_dataset.task1452_location_entity_extraction_btc_corpus
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1452_location_entity_extraction_btc_corpus
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1452_location_entity_extraction_btc_corpus.task1453_person_entity_extraction_btc_corpus
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1453_person_entity_extraction_btc_corpus
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1453_person_entity_extraction_btc_corpus.task1479_organization_entity_extraction_btc_corpus
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1479_organization_entity_extraction_btc_corpus
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1479_organization_entity_extraction_btc_corpus.dolly-entity-extractionfunding-statement-entity-extraction-rollouts
Funding Statement Entity Extraction Rollouts
LLM extraction rollouts for structured funding metadata (funder names, award IDs, funding schemes, award titles) from scholarly funding statements. Five models were evaluated against two gold-standard annotation sets.
Models
Model
Provider
DeepSeek V3.2
deepseek/deepseek-v3.2
GLM-5
z-ai/glm-5
Kimi K2.5
moonshotai/kimi-k2.5
MiniMax M2.5
minimax/minimax-m2.5
Qwen3.5 397B-A17B
qwen/qwen3.5-397b-a17b… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/funding-statement-entity-extraction-rollouts.entity_extraction_ade_v2_with_validation
Dataset: Entity Extraction Adverse Drug Events with Validation Split
This dataset is a modified version of the harpreetmann/entity_extraction_ade_v2 dataset that includes a validation split.
Dataset Structure
The dataset contains:
Training set: 3458 examples
Validation set: 385 examples
Test set: 428 examples
Features
text: A string containing medical text with adverse drug events
relations: A list of dictionaries containing drug-ADE relationships… See the full description on the dataset page: https://huggingface.co/datasets/mihirhirave/entity_extraction_ade_v2_with_validation.funding-entity-extraction-baguette-600m-predictionsentity_extraction_adeMedical-Entity-JSON-ExtractionEntity_ExtractionEntity_Extraction_SQLEntityExtractionFromEmailsentity_extraction_ade_v2phi3_entity_extractionEntity_Extraction_Dataentity_extraction_ade_v2entity_extraction_drug_ade_v2Biomedical_Entity_Relation_Extractionbslm-entity-extraction-mt5-base-include-desc-normalized-tr243k-resultsentity_extraction_ade_v2entity_extraction_ade_v2clinical-entity-extraction-datasetclinical-entity-extraction-transformedentity_extraction_ade_chatentity_extraction_ade_v2_chat_baseentity_extraction_ade_v2_chat