Datasetpublic

q1232990/StockChina-Minute-Parquet

China Stock Market 1-Minute Bar Dataset (Parquet) This dataset provides high-frequency 1-minute historical candlestick and trading data for Chinese A-Share stocks (SSE / SZSE: .XSHE, .XSHG). Attribution & Source Credit This dataset is an optimized Parquet conversion of the original CSV dataset created by jobs-git: Original Dataset: jobs-git/StockChina-Minute Original uncompressed CSV size: ~121.5 GB across 1,450 stock symbols. Optimizations in this… See the full description on the dataset page: https://huggingface.co/datasets/q1232990/StockChina-Minute-Parquet.

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Dataset Card

China Stock Market 1-Minute Bar Dataset (Parquet)

This dataset provides high-frequency 1-minute historical candlestick and trading data for Chinese A-Share stocks (SSE / SZSE: .XSHE, .XSHG).

Attribution & Source Credit

This dataset is an optimized Parquet conversion of the original CSV dataset created by jobs-git:

—Original Dataset: `jobs-git/StockChina-Minute`
—Original uncompressed CSV size: ~121.5 GB across 1,450 stock symbols.

Optimizations in this Version

1.Format: Apache Parquet with high-efficiency column encodings.
2.Compression: Zstandard Level 18 with specialized Parquet encoders:
3.datetime: timestamp[ms] with DELTA_BINARY_PACKED
4.volume: UInt32 with DELTA_BINARY_PACKED
5.money: UInt64 (integer turnover in RMB) with DELTA_BINARY_PACKED
6.paused: Boolean with RLE (Run-Length Encoding)
7.Prices (open, close, high, low, avg, high_limit, low_limit, pre_close, factor): Float32
8.Storage Efficiency: ~12.3x compression ratio (reduces 121.5 GB to ~9.9 GB total storage).
9.Fast Columnar Access: Supports vectorized queries and partition-level filtering.

Schema

Column	Type	Description
`datetime`	`timestamp[ms]`	Minute timestamp (YYYY-MM-DD HH:MM:SS)
`open`	`float32`	Minute opening price
`close`	`float32`	Minute closing price
`high`	`float32`	Minute high price
`low`	`float32`	Minute low price
`volume`	`uint32`	Minute trading volume (shares)
`money`	`uint64`	Minute turnover / amount (RMB)
`avg`	`float32`	Minute volume-weighted average price (VWAP)
`high_limit`	`float32`	Daily price upper limit
`low_limit`	`float32`	Daily price lower limit
`pre_close`	`float32`	Previous day closing price
`paused`	`bool`	Trading suspension status flag
`factor`	`float32`	Price adjustment factor

Quick Usage

Polars

python

import polars as pl

# Direct URL / Hugging Face streaming
url = "hf://datasets/q1232990/StockChina-Minute-Parquet/000001.XSHE.parquet"
df = pl.read_parquet(url)
print(df.head())

PyArrow

python

import pyarrow.parquet as pq
from huggingface_hub import hf_hub_download

file_path = hf_hub_download(repo_id="q1232990/StockChina-Minute-Parquet", filename="000001.XSHE.parquet", repo_type="dataset")
table = pq.read_table(file_path)
print(table.schema)

DuckDB

sql

SELECT * FROM 'hf://datasets/q1232990/StockChina-Minute-Parquet/000001.XSHE.parquet' LIMIT 10;