Add LICENSE, README, .gitignore, and dataset_card.yaml for preliminary financial dataset

.gitignore

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+# Exclude temporary and working files
+
+\*.fetched.parquet \*.test.parquet \*.ufetch.parquet \*.utest.parquet *.fail*.parquet *.ufail*.parquet
+
+# Include only valid parquet files
+
+!\*.valid.parquet
+
+# Other common ignores
+
+\*.log \*.tmp \*.bak .DS_Store **pycache**/ \*.pyc .env logs/

LICENSE

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+Custom License - Non-Commercial Research Use Only
+
+This dataset contains historical financial time series data collected via the yfinance Python library, which retrieves public market data from Yahoo Finance.
+
+These data remain the property of their respective original sources and are provided here strictly for non-commercial research and educational purposes.
+
+Redistribution of this dataset may be limited by the terms of the original data providers.
+
+NO WARRANTY IS PROVIDED. USE AT YOUR OWN RISK.
+
+For any intended use beyond private research, please consult the terms of Yahoo Finance and other data providers.

README.md

@@ -3,3 +3,73 @@ license: other
 license_name: license
 license_link: LICENSE
 ---
+# Preliminary Financial Time Series Dataset (Version 2)
+
+⚠️ Warning: This is a second preliminary dataset for development, testing, and feedback purposes. A stable, production-ready dataset will be released later. This time, all data in here will be available in future "stable" datasets (I guesss.. )
+
+## Overview
+
+This dataset contains **parquet files** with time series data for various financial instruments, collected using an improved and more stable version of our data pipeline. It builds upon the first preliminary dataset, with a refined structure and more reliable data fetching processes. The data is sourced from publicly available sources like [Yahoo Finance](https://finance.yahoo.com) via the `yfinance` library.
+
+Each financial instrument includes:
+- **Daily candles**: Covering multiple years of historical data.
+- **Hourly candles**: Covering at least 2 years.
+- **Minute candles**: Covering a shorter, recent period with high granularity.
+
+This multi-resolution format supports models that analyze both long-term trends and short-term patterns.
+
+## Purpose
+
+This second preliminary dataset is designed to:
+- Provide early access to reliable financial time series data.
+- Enable testing and iteration of machine learning models for trading.
+- Gather feedback to finalize a stable dataset format.
+- Test the consistency of the data update pipeline over a few days.
+
+## Data Structure
+
+The dataset is organized into a clear directory structure:
+- **/data/{category}/{symbol}/{symbol}.days.valid.parquet**: Daily OHLC data.
+- **/data/{category}/{symbol}/{symbol}.hours.valid.parquet**: Hourly OHLC data.
+- **/data/{category}/{symbol}/{symbol}.minutes.valid.parquet**: Minute OHLC data.
+
+Only files marked as `.valid.parquet` are included in this dataset to ensure data quality and consistency. Temporary files (e.g., `fetch`, `test`, `ufetch`, `utest`, `failXX`, `ufailXX`) are excluded via `.gitignore`.
+
+## Expected Changes
+
+While the pipeline is more stable, this dataset remains preliminary. Potential changes include:
+- Adjustments to file naming conventions.
+- Reorganization into sharded folders (e.g., by year or month).
+- Refinements to dataset split logic.
+
+A stable, production-ready dataset will be released separately to ensure long-term consistency.
+
+## Goals
+The Traders-Lab datasets aim to grow in two dimensions:
+- **More stocks**: Additional symbols will be added over time, with rapid expansion expected soon.
+- **More data**: Short-term datasets (hourly and minute candles) will grow as more data is accumulated. While continuity of current minute data is not guaranteed yet, future updates will ensure a continuous time history.
+
+## Non-Goals
+The dataset is designed to be sufficiently up-to-date for training purposes, with data typically no more than a few days old. Real-time updates are not a goal.
+
+## License & Usage
+
+This dataset is not licensed under a standard open data license. See the [`LICENSE`](./LICENSE) file for detailed usage permissions. It is intended **solely for research and educational purposes**. Redistribution may be restricted; please respect the terms of the original data providers, such as Yahoo Finance.
+
+## Accessing the Dataset
+
+The dataset is hosted on Hugging Face under the [Traders-Lab organization](https://huggingface.co/Traders-Lab). To clone the dataset:
+
+```bash
+# Ensure git-lfs is installed (https://git-lfs.com)
+git lfs install
+git clone https://huggingface.co/datasets/Traders-Lab/preliminary-v2
+```
+
+## Metadata
+
+Dataset metadata is provided in the [`dataset_card.yml`](./dataset_card.yml) file, following Hugging Face's dataset card standards.
+
+## Feedback
+
+We welcome feedback to improve the dataset! Please share your thoughts via the [Hugging Face Discussions](https://huggingface.co/datasets/Traders-Lab/preliminary-v2/discussions) or contact the Traders-Lab team.

dataset_card.yaml

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+---
+language:
+  - en
+license: other
+pretty_name: Preliminary Financial Time Series Dataset (Version 2)
+task_categories:
+  - time-series-forecasting
+tags:
+  - finance
+  - stock-market
+  - OHLC
+  - time-series
+  - trading
+dataset_info:
+  features:
+    - name: symbol
+      dtype: string
+    - name: time
+      dtype: int64
+    - name: open
+      dtype: float64
+    - name: high
+      dtype: float64
+    - name: low
+      dtype: float64
+    - name: close
+      dtype: float64
+    - name: volume
+      dtype: int64
+  splits:
+    - name: daily
+      num_examples: null
+    - name: hourly
+      num_examples: null
+    - name: minute
+      num_examples: null
+size_categories:
+  - n<1K
+  - 1K<n<10K
+  - 10K<n<100K
+---
+
+# Preliminary Financial Time Series Dataset (Version 2)
+
+## Dataset Description
+
+- **Repository**: [Traders-Lab/preliminary-v2](https://huggingface.co/datasets/Traders-Lab/preliminary-v2)
+- **Paper**: None
+- **Point of Contact**: [Traders-Lab Discussions](https://huggingface.co/datasets/Traders-Lab/preliminary-v2/discussions)
+- **Size of Dataset**: Varies by symbol and interval (daily, hourly, minute)
+- **Size of Downloaded Dataset**: Multiple parquet files, size depends on the number of symbols
+- **Framework**: Data collected using `yfinance` from [Yahoo Finance](https://finance.yahoo.com)
+
+This is a second preliminary dataset containing OHLC (Open, High, Low, Close) time series data for various financial instruments, intended for research and educational purposes. It includes daily, hourly, and minute-resolution data, organized by symbol and category.
+
+## Dataset Structure
+
+The dataset is organized as follows:
+- **/data/{category}/{symbol}/{symbol}.days.valid.parquet**: Daily OHLC data.
+- **/data/{category}/{symbol}/{symbol}.hours.valid.parquet**: Hourly OHLC data.
+- **/data/{category}/{symbol}/{symbol}.minutes.valid.parquet**: Minute OHLC data.
+
+Only `.valid.parquet` files are included to ensure data quality. Temporary files are excluded.
+
+## Intended Uses
+
+- **Primary Use**: Training and evaluating machine learning models for trading strategies.
+- **Other Uses**: Time series analysis, financial research, and educational projects.
+
+## Limitations
+
+- **Preliminary Nature**: The dataset is not yet stable and may undergo changes in structure or naming.
+- **Data Freshness**: Data is typically a few days old, not real-time.
+- **Coverage**: Not all symbols may have complete historical data, especially for minute-resolution data.
+
+## License
+
+The dataset is not licensed under a standard open data license. See the [`LICENSE`](./LICENSE) file for details. Usage is restricted to research and educational purposes, and redistribution may be limited by the terms of the original data provider (Yahoo Finance).
+
+## How to Use
+
+Clone the dataset using:
+```bash
+git lfs install
+git clone https://huggingface.co/datasets/Traders-Lab/preliminary-v2
+```
+
+Load the parquet files using Python libraries like `pandas` or `duckdb`.
+
+## Feedback
+
+Please provide feedback via the [Hugging Face Discussions](https://huggingface.co/datasets/Traders-Lab/preliminary-v2/discussions) to help improve the dataset.