Alternative data datasets
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Extensive points-of-interest catalog spanning nineteen business sectors throughout the Netherlands.
Extensive points-of-interest database spanning nineteen industry sectors throughout Pakistan.
Extensive Polish registry of places of interest spanning 19 industry categories.
An extensive points-of-interest collection spanning 19 industry sectors throughout Portugal.
An extensive points-of-interest database spanning nineteen commercial sectors throughout South Korea.
A points-of-interest collection spanning 19 industry sectors throughout Romania.
A points-of-interest collection spanning 19 industry sectors throughout the Russian Federation.
Extensive points-of-interest coverage spanning 19 industry sectors across Saudi Arabia.
Wide-ranging points-of-interest inventory spanning nineteen commercial sectors throughout South Africa.
Extensive points-of-interest collection spanning 19 industry sectors throughout Spain.
Wide-ranging points-of-interest resource across 19 commercial segments in Sri Lanka.
An extensive points-of-interest dataset spanning nineteen industry sectors throughout Switzerland.
A broad points-of-interest dataset covering nineteen industry categories throughout Taiwan.
Extensive points-of-interest collection spanning nineteen industry sectors within Thailand.
An extensive points-of-interest collection spanning 19 industry sectors throughout Türkiye.
Broad points-of-interest dataset spanning 19 industry sectors within Ukraine.
Extensive points-of-interest collection covering 19 industry categories throughout the United Arab Emirates.
Wide-ranging POI dataset across 19 business sectors in the United Kingdom.
Over 3.9 million healthcare and wellness sites featuring operational status, contact indicators, and coverage details.
Tools for improving market reach, analyzing competitor positioning, and optimizing supply chain operations.
An extensive points-of-interest catalog spanning nineteen commercial sectors throughout Vietnam.
The restaurant_reviews dataset, published on the Hugging Face Hub by user yav1327, is a tabular and text collection of restaurant listings paired with user reviews. It is distributed in Parquet format with a single train split of 13,144 rows and an unstated license.
The 2024 Earnings Call Transcript dataset, published by yeong-hwan on Hugging Face, aggregates quarterly earnings call dialogue for individual stock tickers. It is distributed as a JSON table with 1,904 rows in a single train split.
Anonymized Airspace Profiles and Altitude Metrics for Bias-Free ML
CoER RL Project page · Paper · Code Executable task configurations for Stage 2 bilateral Co-PPO, with separate training and internal-validation splits. These are not generated rollouts or the official evaluation panel. Contents Split File Size train train.parquet 12,705 configurations validation validation.parquet 3,186 configurations Training and validation configurations are disjoint. Internal v
Top-tier B2B contact and corporate information used for business intelligence workflows.