README.md

metadata

language:
  - en
  - zh
license: apache-2.0
task_categories:
  - time-series-forecasting
  - other
tags:
  - finance
  - quantitative
  - qlib
  - factor
  - time-series
pretty_name: QuantaAlpha Qlib CSI300 Dataset

QuantaAlpha Qlib CSI300 Dataset

Usage reference:

Qlib market data and pre-computed HDF5 files for QuantaAlpha factor mining (A-share, CSI 300).

Dataset description

Filename	Description
daily_pv.h5	Adjusted daily price and volume data.
daily_pv_debug.h5	Debug subset (smaller) of price-volume data.

How to load from Hugging Face

from huggingface_hub import hf_hub_download
import pandas as pd

# Download a file from this dataset
path = hf_hub_download(
    repo_id="QuantaAlpha/qlib_csi300",
    filename="daily_pv.h5",
    repo_type="dataset"
)
df = pd.read_hdf(path, key="data")

Note: The key is always "data" for all HDF5 files in this dataset.

How to read the files locally

If you have already downloaded the files:

import pandas as pd
df = pd.read_hdf("daily_pv.h5", key="data")

Field description (daily price and volume)

Field	Description
open	Open price of the stock on that day
close	Close price of the stock on that day
high	High price of the stock on that day
low	Low price of the stock on that day
volume	Trading volume on that day
factor	Adjusted factor value