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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
44,534 datasets
A large-scale text corpus, likely containing trillions of tokens, built by SKT AI Labs as part of Project Surya. The dataset is intended to serve as a sovereign data foundation for indigenous large language model development in India. The dataset page indicates it is on a building stage with a target size of 8TB.
Western Australia data details road networks approved for Restricted Access Vehicles (RAV). The dataset is updated weekly by Main Roads Western Australia and is provided under a Creative Commons Attribution license.
Xia Wang published a dataset on figshare in 2026 related to photocontrolled metal ion release systems for hypoxic tumor therapy. The data likely contains experimental results on zinc-coordinated porphyrin (ZnPor) undergoing photochemical Zn2+ release and conversion to phlorin for lysosome-targeted hydride therapy. The dataset is stored in a CSV file with a size of 457.0 B.
Weekly updated road network data for Western Australia, detailing restrictions for heavy vehicle access. The Commissioner of Main Roads creates and owns the data, which is shared under a Creative Commons Attribution license. Users must confirm information is current via the official Main Roads WA website.
Edward John's research dataset contains fatigue and leakage data from destructive laboratory experiments on grey cast iron pipes. The data, last updated in May 2026, explores the impact of corrosion pit geometry and multiaxial stress on fatigue strength and leakage behavior. It includes applied stress amplitude, cycles to leakage, and leak-to-burst cycles for each test.
Western Australia's road network data for restricted heavy vehicle access, including PBS Tri Drive Quad Axle routes. The dataset is maintained by Main Roads Western Australia and receives weekly updates to ensure current accuracy.
Weekly updated spatial data from Main Roads Western Australia detailing routes for heavy and restricted access vehicles. The dataset provides official network information for the state, accessible through multiple GIS formats including GeoJSON and CSV.
NASA HEASARC provides a catalog of 793 X-ray point sources detected in the 4 Ms Chandra Deep Field South (CDFS) observations. The data was created by performing simultaneous maximum likelihood PSF fits on 34,930 CANDELS H-band selected galaxies, increasing the detection of faint sources compared to 'blind' methods. This table, updated in April 2018, represents the largest sample of extremely faint X-ray sources assembled to date.
21,212 professional Go matches among 311 masters and 586 games from 293 amateur players were analyzed to investigate discrepancies between empirical and theoretical probability in binary choices. The data shows that higher-ranked players had a significantly higher chance of selecting black stones, challenging the assumption of equal odds. The dataset was authored by Yong-Hwan Kim and last updated on 2026-04-30.
Data from a study investigating discrepancies between empirical and theoretical probability in human binary choices, using stone selection in the game of Go as a model. The dataset includes analyses of 21,212 professional Go matches among 311 masters and 586 games from 293 amateur players. It was authored by Yong-Hwan Kim and last updated on 2026-04-30.
Data Sheet 4_Discrepancies between empirical and theoretical probability in human binary choices within the game of Go.xlsx is a dataset by Yong-Hwan Kim investigating binary choice probability in the game of Go. It contains data from 21,212 professional matches among 311 Go masters and 586 games from 293 amateur players. The dataset was last updated on 2026-04-30.
21,212 professional Go matches among 311 masters and 586 amateur games from 293 participants were analyzed to investigate discrepancies in binary choice probability. The dataset, authored by Yong-Hwan Kim and last updated in April 2026, shows higher-ranked players had a significantly higher chance of selecting black stones. This research provides insights into the divergence between theoretical and empirical odds in sequential strategic interactions.
21,212 professional Go matches among 311 masters and 586 amateur games from 293 participants were analyzed to investigate discrepancies between empirical and theoretical probability in binary choices. The data, authored by Yong-Hwan Kim and last updated in April 2026, shows higher-ranked players had a significantly higher chance of selecting black stones. This suggests human binary choice odds may not equal theoretical expectations, relevant to game theory and decision-making research.
A dataset analyzing discrepancies between theoretical and empirical probability in human binary choices, using stone selection in the game of Go as a model. The data includes results from 21,212 professional Go matches among 311 masters and 586 games among 293 amateur players. The research was authored by Yong-Hwan Kim and last updated in April 2026.
21,212 professional Go matches among 311 masters and 586 amateur games from 293 participants provide data on stone selection. The analysis by Yong-Hwan Kim, published in 2026, investigates discrepancies between empirical and theoretical probability in human binary choices. Results show higher-ranked players have a significantly higher chance of selecting black stones, challenging the assumption of equal odds.
A study by Yong-Hwan Kim investigates discrepancies between theoretical and empirical probability in human binary choices using the game of Go. The analysis includes data from 21,212 professional matches among 311 Go masters and 586 games from 293 amateur players. The dataset, last updated in April 2026, supports findings that stone selection probability is not equal and varies with player rank.
Research data from Yong-Hwan Kim investigates discrepancies between theoretical and empirical probability in human binary choices using the game of Go. The dataset includes analyses of 21,212 professional Go matches among 311 masters and 586 in situ games with 293 amateur players. The study was last updated on 2026-04-30.
21,212 professional Go matches among 311 masters and 586 amateur games from 293 participants form a binary choice model for studying probability discrepancies. The data shows higher-ranked players selected black stones significantly more often than lower-ranked players. Author Yong-Hwan Kim published this 20.8 KB PDF on figshare under a CC-BY-4.0 license, last updated in April 2026.
21,212 professional Go matches among 311 masters and 586 amateur games from 293 participants form a dataset on binary choice behavior. The data, authored by Yong-Hwan Kim and last updated in April 2026, investigates discrepancies between empirical and theoretical probability in human decisions. Analyses show higher-ranked players have a significantly higher chance of selecting black stones, challenging the assumption of equal odds in binary choices.
218 surface models of membranous labyrinths from C57BL/6N mouse embryos were generated and analyzed. The dataset provides detailed anatomic descriptions and metric information, including angles and volumes, for developmental stages E9.5 to E14.5. It was created by Barbara Maurer-Gesek using high-resolution episcopic microscopy data from the 'Deciphering the mechanisms of developmental disorders' program.