Hugging Face's logo

Datasets:
commanderzee
/
1s-crypto-data

Tasks:
Time Series Forecasting
Modalities:
Tabular
Formats:
parquet
Languages:
English
Size:
1B - 10B
Tags:
crypto
finance
1s-klines
binance
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
open_time_s
int64
1.55B
1.78B
open
float64
5.37
126k
high
float64
5.37
126k
low
float64
5.37
126k
close
float64
5.37
126k
volume
float64
0
153k
1,546,300,800
6.1111
6.1111
6.1111
6.1111
0
1,546,300,801
6.1111
6.1111
6.1111
6.1111
0
1,546,300,802
6.1111
6.1111
6.1111
6.1111
0
1,546,300,803
6.1111
6.1111
6.1111
6.1111
0
1,546,300,804
6.1111
6.1111
6.1111
6.1111
0
1,546,300,805
6.1111
6.1111
6.1111
6.1111
0
1,546,300,806
6.1139
6.1139
6.1139
6.1139
98.95
1,546,300,807
6.1139
6.1139
6.1139
6.1139
0
1,546,300,808
6.1139
6.1139
6.1139
6.1139
0
1,546,300,809
6.1139
6.1139
6.1139
6.1139
73.41
1,546,300,810
6.1139
6.1139
6.1139
6.1139
0
1,546,300,811
6.1184
6.12
6.1184
6.12
30
1,546,300,812
6.112
6.112
6.112
6.112
6.89
1,546,300,813
6.112
6.112
6.112
6.112
0
1,546,300,814
6.112
6.112
6.112
6.112
0
1,546,300,815
6.112
6.112
6.112
6.112
0
1,546,300,816
6.112
6.112
6.112
6.112
0
1,546,300,817
6.112
6.112
6.112
6.112
0
1,546,300,818
6.112
6.112
6.112
6.112
0
1,546,300,819
6.112
6.112
6.112
6.112
0
1,546,300,820
6.112
6.112
6.112
6.112
0
1,546,300,821
6.112
6.112
6.112
6.112
0
1,546,300,822
6.1128
6.1128
6.1128
6.1128
1.96
1,546,300,823
6.1119
6.112
6.1119
6.112
233.23
1,546,300,824
6.112
6.112
6.112
6.112
0
1,546,300,825
6.112
6.112
6.112
6.112
0
1,546,300,826
6.112
6.112
6.112
6.112
0
1,546,300,827
6.112
6.112
6.112
6.112
0
1,546,300,828
6.1198
6.1198
6.1198
6.1198
1.96
1,546,300,829
6.1199
6.12
6.1198
6.1198
184.1
1,546,300,830
6.1198
6.1198
6.1198
6.1198
0
1,546,300,831
6.1198
6.1198
6.1198
6.1198
0
1,546,300,832
6.1198
6.1198
6.1198
6.1198
0
1,546,300,833
6.1205
6.1205
6.1205
6.1205
63.5
1,546,300,834
6.1205
6.1205
6.1205
6.1205
0
1,546,300,835
6.1144
6.1144
6.1144
6.1144
2.94
1,546,300,836
6.1144
6.1144
6.1144
6.1144
0
1,546,300,837
6.1144
6.1144
6.1144
6.1144
0
1,546,300,838
6.1144
6.1144
6.1144
6.1144
0
1,546,300,839
6.1144
6.1144
6.1144
6.1144
0
1,546,300,840
6.1144
6.1144
6.1144
6.1144
0
1,546,300,841
6.1144
6.1144
6.1144
6.1144
0
1,546,300,842
6.1144
6.1144
6.1144
6.1144
0
1,546,300,843
6.1144
6.1144
6.1144
6.1144
0
1,546,300,844
6.1144
6.1144
6.1144
6.1144
0
1,546,300,845
6.1144
6.1144
6.1144
6.1144
0
1,546,300,846
6.1144
6.1144
6.1144
6.1144
0
1,546,300,847
6.1164
6.1164
6.1164
6.1164
237.54
1,546,300,848
6.1165
6.1165
6.1165
6.1165
1.65
1,546,300,849
6.117
6.1228
6.117
6.1228
81.41
1,546,300,850
6.1228
6.1228
6.1228
6.1228
0
1,546,300,851
6.1228
6.1228
6.1228
6.1228
0
1,546,300,852
6.1228
6.1228
6.1228
6.1228
0
1,546,300,853
6.1228
6.1228
6.1228
6.1228
0
1,546,300,854
6.1228
6.1228
6.1228
6.1228
0
1,546,300,855
6.1228
6.1228
6.1228
6.1228
0
1,546,300,856
6.1215
6.1215
6.1215
6.1215
2.5
1,546,300,857
6.1172
6.1172
6.1172
6.1172
118.77
1,546,300,858
6.1172
6.1172
6.1172
6.1172
0
1,546,300,859
6.1172
6.1172
6.1172
6.1172
0
1,546,300,860
6.1172
6.1172
6.1172
6.1172
0
1,546,300,861
6.1172
6.1172
6.1172
6.1172
0
1,546,300,862
6.1172
6.1172
6.1172
6.1172
0
1,546,300,863
6.1172
6.1172
6.1172
6.1172
0
1,546,300,864
6.1174
6.1174
6.1173
6.1173
6.86
1,546,300,865
6.1173
6.1173
6.1173
6.1173
0
1,546,300,866
6.1173
6.1173
6.1173
6.1173
0
1,546,300,867
6.1173
6.1173
6.1173
6.1173
0
1,546,300,868
6.1147
6.1218
6.1124
6.1218
80.35
1,546,300,869
6.1145
6.1145
6.1145
6.1145
1.96
1,546,300,870
6.1147
6.1147
6.1147
6.1147
15.58
1,546,300,871
6.1147
6.1147
6.1147
6.1147
0
1,546,300,872
6.1147
6.1147
6.1147
6.1147
0
1,546,300,873
6.1147
6.1147
6.1147
6.1147
0
1,546,300,874
6.1147
6.1147
6.1147
6.1147
0
1,546,300,875
6.1093
6.1093
6.1091
6.1091
39.98
1,546,300,876
6.1091
6.1091
6.1091
6.1091
0
1,546,300,877
6.1091
6.1091
6.1091
6.1091
0
1,546,300,878
6.1091
6.1091
6.1091
6.1091
0
1,546,300,879
6.1091
6.1091
6.1091
6.1091
0
1,546,300,880
6.1091
6.1091
6.1091
6.1091
0
1,546,300,881
6.1091
6.1091
6.1091
6.1091
0
1,546,300,882
6.1091
6.1091
6.1091
6.1091
0
1,546,300,883
6.1091
6.1091
6.1091
6.1091
0
1,546,300,884
6.1091
6.1091
6.1091
6.1091
0
1,546,300,885
6.1091
6.1091
6.1091
6.1091
0
1,546,300,886
6.1066
6.1066
6.1066
6.1066
8.52
1,546,300,887
6.1066
6.1066
6.1066
6.1066
0
1,546,300,888
6.1066
6.1066
6.1066
6.1066
0
1,546,300,889
6.1066
6.1066
6.1066
6.1066
0
1,546,300,890
6.1066
6.1066
6.1066
6.1066
0
1,546,300,891
6.1065
6.1065
6.1007
6.1007
266.44
1,546,300,892
6.1007
6.1007
6.1007
6.1007
0
1,546,300,893
6.1152
6.1153
6.1152
6.1153
320.37
1,546,300,894
6.1157
6.1157
6.1157
6.1157
181.11
1,546,300,895
6.1157
6.1157
6.1157
6.1157
0
1,546,300,896
6.1157
6.1157
6.1157
6.1157
0
1,546,300,897
6.1157
6.1157
6.1157
6.1157
0
1,546,300,898
6.1039
6.1039
6.1039
6.1039
684.34
1,546,300,899
6.1039
6.1039
6.1039
6.1039
0
End of preview. Expand in Data Studio

1-Second Crypto OHLCV Data (Binance)

Historical 1-second kline (OHLCV) data for 6 major cryptocurrencies downloaded from Binance Vision. Updated daily — never more than 24h behind.

Assets

Symbol Start Updated
BTCUSDT 2019-01 daily
ETHUSDT 2019-01 daily
BNBUSDT 2019-01 daily
XRPUSDT 2019-01 daily
DOGEUSDT 2019-07 daily
SOLUSDT 2020-10 daily

File Structure 

data/{SYMBOL}_1s.parquet        ← full history, one file per asset
scripts/daily_update.py         ← run to append latest daily data

Schema

Column Type Description
open_time_s int64 Unix timestamp in seconds
open float64 1-second open price
high float64 1-second high price
low float64 1-second low price
close float64 1-second close price
volume float64 Base asset volume

Usage 

import pandas as pd

# Load one asset (full history, ~200M rows for BTC)
df = pd.read_parquet(
    "hf://datasets/commanderzee/1s-crypto-data/data/BTCUSDT_1s.parquet"
)

# Load all assets
SYMBOLS = ["BTCUSDT","ETHUSDT","BNBUSDT","XRPUSDT","DOGEUSDT","SOLUSDT"]
frames = {
    sym: pd.read_parquet(
        f"hf://datasets/commanderzee/1s-crypto-data/data/{sym}_1s.parquet"
    )
    for sym in SYMBOLS
}

Daily Auto-Update

The scripts/daily_update.py checks the latest timestamp in each asset's Parquet, downloads any missing days from Binance Vision's daily 1s endpoint, appends new rows, and re-uploads.

# Run manually (requires HF_TOKEN with write access):
HF_TOKEN=<your_token> python scripts/daily_update.py

# Dry-run (shows what would be fetched, no upload):
HF_TOKEN=<your_token> python scripts/daily_update.py --dry-run

# Update specific symbols only:
HF_TOKEN=<your_token> python scripts/daily_update.py --symbols BTCUSDT ETHUSDT

Binance publishes daily files roughly 2–4h after UTC midnight.

Source

All data from Binance Vision public archives. Timestamps normalised to Unix seconds (integer division from raw ms/μs timestamps). Duplicate bars removed; rows sorted ascending by open_time_s.
Downloads last month
377
Number of rows:
1,356,237,275
Total file size:
21.6 GB

Space using commanderzee/1s-crypto-data 1