datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
specter2-corpus-papersSPECTER2-data
Dataset Card for "SPECTER2-data"
More Information needed
SPECTER
Dataset Card for "SPECTER"
Dataset Summary
Dataset containing triplets (three sentences): anchor, positive, and negative. Contains titles of papers.
Disclaimer: The team releasing SPECTER did not upload the dataset to the Hub and did not write a dataset card.
These steps were done by the Hugging Face team.
Dataset Structure
Each example in the dataset contains triplets of equivalent sentences and is formatted as a dictionary with the key "set" and a list with… See the full description on the dataset page: https://huggingface.co/datasets/embedding-data/SPECTER.specter
Dataset Card for Specter
This dataset is a collection of title-related-unrelated triplets from Scientific Publications on Specter. See Specter for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.
Dataset Subsets
triplet subset
Columns: "anchor", "positive", "negative"
Column types: str, str, str
Examples:{
'anchor': "Integrating children's contributions in the interaction design process"… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/specter.specter_arknights
Dataset of specter/スペクター/幽灵鲨 (Arknights)
This is the dataset of specter/スペクター/幽灵鲨 (Arknights), containing 500 images and their tags.
The core tags of this character are long_hair, red_eyes, grey_hair, hair_between_eyes, black_headwear, very_long_hair, breasts, white_hair, hat, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/specter_arknights.neuro-specter2-triplets-multi-pool
Jerjes/neuro-specter2-triplets-multi-pool
This dataset contains anchor papers with their top-K most similar (positive) and most dissimilar (negative) papers based on SPECTER2 embeddings.
Dataset Structure
Each row contains:
anchor_id: Unique identifier for the anchor paper
anchor_title: Title of the anchor paper
anchor_abstract: Abstract of the anchor paper
positive_pool: List of 5 most similar papers, each as [id, title, abstract]
negative_pool: List of 5 most… See the full description on the dataset page: https://huggingface.co/datasets/Jerjes/neuro-specter2-triplets-multi-pool.arxiv_abstracts_specter_faiss_flat_indexversion https://git-lfs.github.com/spec/v1
oid sha256:98b45ea81164d1e1a1dd82255207053b15cd6c69d922a1c5cf3387ce604d4b74
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Specter-Triplet-SplitThis dataset is based on the sentence-transformers/specter dataset to have a train-val-test split.
neuro-specter2-triplets
Jerjes/neuro-specter2-triplets
Triplet dataset for fine-tuning SPECTER2 on neuroscience.
Version date: 2025-08-12
Schema
Columns:
anchor_id, positive_id, negative_id
anchor_title, positive_title, negative_title
anchor_abstract, positive_abstract, negative_abstract
anchor_text, positive_text, negative_text (title + abstract)
Split: train
Load
from datasets import load_dataset
triplets = load_dataset("Jerjes/neuro-specter2-triplets", split="train")
st_specter_train_triplesspecter-title-to-absspecter_marathi
Specter Marathi Dataset: High-Quality Marathi NLP Corpus
📌 Overview
The Specter Marathi dataset is a meticulously curated collection of 684098 rows of Marathi text, ensuring linguistic accuracy and natural flow. Every sentence has been verified by native Marathi speakers to maintain contextual integrity and correctness.
This dataset is designed for semantic search, text classification, and various NLP tasks, making it a valuable resource for machine learning models… See the full description on the dataset page: https://huggingface.co/datasets/Singhchandann/specter_marathi.specter-abs-to-titlespecter-vc-ai_specialistneuro-specter2-triplets-pool
Jerjes/neuro-specter2-triplets-pool
This dataset contains anchor papers with their top-K most similar (positive) and most dissimilar (negative) papers based on SPECTER2 embeddings.
Dataset Structure
Each row contains:
anchor_id: Unique identifier for the anchor paper
anchor_title: Title of the anchor paper
anchor_abstract: Abstract of the anchor paper
positive_pool: List of 5 most similar papers, each as [id, title, abstract]
negative_pool: List of 5 most dissimilar… See the full description on the dataset page: https://huggingface.co/datasets/Jerjes/neuro-specter2-triplets-pool.neuro-specter2-poolsspecter-vc-stealth_hunterspecter-vc-all-personasneuro-specter2-sample-data
Jerjes/neuro-specter2-sample-data
This dataset contains anchor papers with their top-K most similar (positive) and most dissimilar (negative) papers based on SPECTER2 embeddings.
Dataset Structure
Each row contains:
anchor_id: Unique identifier for the anchor paper
anchor_title: Title of the anchor paper
anchor_abstract: Abstract of the anchor paper
positive_pool: List of 5 most similar papers, each as [id, title, abstract]
negative_pool: List of 5 most dissimilar… See the full description on the dataset page: https://huggingface.co/datasets/Jerjes/neuro-specter2-sample-data.SPECTER-subset-dedupetd-specter-train-triples-hard-neg-sftspecter-title-to-abs-filteredSPECTER-subset-dedup_with_marginsspecter_77kspecter-vc-growth_scoutspecter-vc-fintech_focustldr_vs_abstract_allenai_specter2_aug2023refresh_basetldr_vs_abstract_allenai_specter2_basespecter-vc-early_stagespecter1
