datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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-extractionentity_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.entity_extraction_adeEntity_Extraction_SQLentity_extraction_ade_v2funding-entity-extraction-baguette-600m-predictionsEntityExtractionFromEmailsbslm-entity-extraction-mt5-base-include-desc-normalized-tr243k-resultsphi3_entity_extractionentity_extraction_ade_v2entity_extraction_ade_v2entity_extraction_drug_ade_v2Entity_Extractionentity_extraction_ade_v2entity_extraction_ade_v2_chat_baseentity_extraction_ade_chatentity_extraction_ade_v2_chat
Dataset Card for "entity_extraction_ade_v2_chat"
More Information needed
flan_combined_task1449_disease_entity_extraction_bc5cdr_datasetentity_extraction_ade_v2_chatentity_extraction_ade_chatflan_combined_task1479_organization_entity_extraction_btc_corpusflan_combined_task1452_location_entity_extraction_btc_corpusflan_combined_task1453_person_entity_extraction_btc_corpus