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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
44,915 datasets
139,488 canopy gaps were mapped in 2012, declining to 121,986 by 2022, while total gap area increased from 604 to 652 hectares. This dataset, created by Janice Owusu and hosted on Borealis Harvested Dataverse, quantifies gap formation, expansion, persistence, and closure over a decade using airborne laser scanning. It provides a baseline for understanding fine-scale structural change and disturbance regimes in a 10,000-hectare temperate mixedwood forest in Ontario, Canada.
Colombia's inventory of public information generated, obtained, acquired, or controlled by obligated entities that has been classified as confidential or reserved, thus having restricted access. The dataset includes metadata such as series names, legal justifications, classification dates, retention periods, and administrative units. It is published by www.datos.gov.co and was last updated on 2026-05-18.
A paired speaker set constructed from the LibriTTS corpus for evaluating speaker preservation in speech-to-speech translation systems. The dataset supports the OpenSTBench multidimensional benchmark, as detailed in a 2025 paper. It was created by author ayj111 and last updated on June 4, 2026.
A 9.5 KB Excel file containing evaluation results for five T5-based language models pretrained on different clinical and biomedical corpora. The dataset, authored by Saad Althabiti and last updated in April 2026, supports a study on the impact of corpus and vocabulary selection on model performance across various clinical and biomedical NLP tasks.
Five T5-EHR models pretrained on different clinical and biomedical corpora are evaluated across various NLP tasks. The dataset likely contains performance metrics comparing models pretrained exclusively on clinical data versus those with biomedical data, and models using clinical-specific versus general biomedical vocabularies. The dataset was authored by Saad Althabiti and last updated on April 17, 2026.
Five T5-EHR models pretrained from scratch on different clinical and biomedical corpora are evaluated. The dataset likely contains performance metrics comparing these models across various clinical and biomedical NLP tasks. The dataset was created by Saad Althabiti and last updated on April 17, 2026.
Five T5-based language models pretrained from scratch using different clinical and biomedical corpora and vocabularies. The 5.5 KB dataset, authored by Saad Althabiti and last updated in April 2026, contains evaluation results comparing these models. Findings reveal that aligning pretraining corpus and vocabulary with the target domain is essential for optimal performance in clinical and biomedical NLP.
Saad Althabiti's study, last updated April 17, 2026, compares five T5-based language models pretrained with different clinical and biomedical corpora and vocabularies. The 5.5 KB dataset contains evaluation results across various clinical and biomedical NLP tasks. The work quantifies the impact of pretraining data and vocabulary choices on downstream model performance.
Saad Althabiti published a study on April 17, 2026, comparing five T5-EHR language models pretrained with different clinical and biomedical corpora and vocabularies. The 5.5 KB dataset contains tabular results evaluating model performance across various clinical and biomedical natural language processing tasks. The findings quantify the impact of pretraining data and vocabulary tokenization choices on downstream performance.
Saad Althabiti's study on figshare, last updated April 17, 2026, provides a 5.5 KB tabular summary of hyperparameter tuning results. The data likely contains performance metrics from evaluating five T5-EHR models pretrained with different clinical and biomedical corpora and vocabularies.
Five T5-EHR models were pretrained from scratch using different clinical and biomedical corpora and vocabularies. The dataset, shared by Saad Althabiti on figshare in April 2026, contains evaluation results across various tasks to quantify the impact of pretraining data and vocabulary choices. The results show that aligning corpus and vocabulary with the target domain is essential for optimizing model performance.
Five T5-EHR models were pretrained from scratch using different combinations of clinical and biomedical corpora and vocabularies. The models were evaluated across a variety of clinical and biomedical tasks to quantify the impact of pretraining data and vocabulary choices. The dataset, released by Saad Althabiti in April 2026, likely contains tabular performance metrics from this study.
A database of artisanal miners from rural zones in the municipality of Neiva, Colombia. The dataset is published via the Socrata platform on datos.gov.co and was last updated on 2026-05-18. It includes columns for activity location, extracted material, water source, and gender.
Emma J. Kelsall published a dataset and mathematical model on fission yeast pheromone signaling in 2026. The data likely contains results from genetic epistasis analysis and biochemical assays exploring how the RAS mutation ras1.G17V differentially activates downstream MAPK and Cdc42 pathways. The accompanying model incorporates a negative-feedback circuit to explain transient MAPK activation profiles.
A research dataset from figshare details the discovery of FLC-8, a covalent inhibitor targeting the Cys807 residue in the FLT3 kinase for acute myeloid leukemia. It reports IC50 values for FLT3-WT (10.2 nM), G697R (11.6 nM), and N676D (24.1 nM) mutants, along with in vivo tumor growth inhibition data. The dataset was authored by Zi-Xuan Wang and last updated in April 2026.
Scores on the ASRS screener, hyperactive and inattentive subsections, and subsequent subtypes of the high ASRS group. The dataset is 5.5 KB in size and was last updated on 2026-05-21. It is authored by Eleanor Jackson and shared under a CC-BY-4.0 license.
Grounded visual computer-use trajectories generated by the SynthUX system. Each record captures one worker's device session inside a simulated company, where goals drive interactions with applications like Terminal, VS Code, and Slack through low-level mouse and keyboard inputs. The dataset was created by jacob-valdez and was last updated on June 4, 2026.
A cleaned corpus of 623,890 persona-clean and 224,956 initial-clean rows for Persian PII-masking token classification. The dataset, created by Reza2kn, combines audited source corpora and was last updated on 2026-05-31. It includes fields such as source_text, masked_text, and privacy_mask labels.
Territorial boundaries of the regional directorates of the General Directorate of Civil and Fire Safety (DGSCSI) in Québec. The dataset is provided by the Government and Municipalities of Québec under a CC-BY-4.0 license and was last updated on 2026-04-22. It is available in geospatial formats including WMS and SHP.
SynthUX Computer-Use Dataset contains visual trajectories of device sessions within a simulated company environment. Each record captures one worker's session, where a goal expands into a node tree, terminal nodes drive desktop-simulator applications, and the observed trajectory is recorded as screen video with per-node frames. The dataset was created by jacob-valdez and was last updated on June 4, 2026.