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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01AdityaaXD /Multi-Agent_Reinforcement_Learning_Trading_System_Data ๐Ÿ“Š Multi-Agent RL Trading System - Dataset This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for AAPL, MSFT, and GOOGL, pre-processed for Reinforcement Learning based trading systems. ๐Ÿ“ Dataset Content The dataset consists of CSV files downloaded via yfinance: AAPL.csv: Apple Inc. daily data (Jan 2018 - Dec 2024). MSFT.csv: Microsoft Corp. daily data (Jan 2018 - Dec 2024). GOOGL.csv: Alphabet Inc. daily data (Jan 2018 - Dec 2024). ๐Ÿ“โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Data.tabulartime-series-forecasting1K<n<10K14 likes260 downloads8mo agoHugging Face02sanjaydoss /Multi-Agent_Reinforcement_Learning_Trading_System_Data ๐Ÿ“Š Multi-Agent RL Trading System - Dataset This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for AAPL, MSFT, and GOOGL, pre-processed for Reinforcement Learning based trading systems. ๐Ÿ“ Dataset Content The dataset consists of CSV files downloaded via yfinance: AAPL.csv: Apple Inc. daily data (Jan 2018 - Dec 2024). MSFT.csv: Microsoft Corp. daily data (Jan 2018 - Dec 2024). GOOGL.csv: Alphabet Inc. daily data (Jan 2018 - Dec 2024).โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/sanjaydoss/Multi-Agent_Reinforcement_Learning_Trading_System_Data.tabulartime-series-forecasting1K<n<10K20 likes221 downloads1mo agoHugging Face03Finance-Agentic-AI /Personal-Finance-Datatabular10K<n<100K0 likes33 downloads10mo agoHugging Face04hasura /agentic-data-access-benchmark Agentic Data Access Benchmark (ADAB) Agentic Data Access Benchmark is a set of real-world questions over few "closed domains" to illustrate the evaluation of closed domain AI assistants/agents. Closed domains are domains where data is not available implicitly in the LLM as they reside in secure or private systems e.g. enterprise databases, SaaS applications, etc and AI solutions require mechanisms to connect an LLM to such data. If you are evaluating an AI product or building yourโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/hasura/agentic-data-access-benchmark.textn<1K0 likes18 downloads2y agoHugging Face05Akshath-Nag /Agent_finetuning_datatextn<1K0 likes9 downloads3y agoHugging Face06Data-Gem /agents-course-unit3-invitees-expandedtextn<1K1 likes5 downloads1y agoHugging Face

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