id int64 1 20 | country stringlengths 2 12 | currency stringlengths 3 3 | gold_price int64 1.55k 31M | gmt_timezone stringlengths 5 8 |
|---|---|---|---|---|
1 | Egypt | EGP | 32,500 | GMT+2 |
2 | USA | USD | 1,950 | GMT-5 |
3 | Germany | EUR | 1,800 | GMT+1 |
4 | Japan | JPY | 280,000 | GMT+9 |
5 | India | INR | 162,000 | GMT+5:30 |
6 | Brazil | BRL | 9,700 | GMT-3 |
7 | UK | GBP | 1,550 | GMT+0 |
8 | Canada | CAD | 2,650 | GMT-5 |
9 | Australia | AUD | 3,000 | GMT+10 |
10 | South Africa | ZAR | 37,000 | GMT+2 |
11 | Saudi Arabia | SAR | 7,300 | GMT+3 |
12 | Mexico | MXN | 35,000 | GMT-6 |
13 | China | CNY | 13,800 | GMT+8 |
14 | Russia | RUB | 184,000 | GMT+3 |
15 | Turkey | TRY | 57,000 | GMT+3 |
16 | Argentina | ARS | 1,800,000 | GMT-3 |
17 | Nigeria | NGN | 1,600,000 | GMT+1 |
18 | Kenya | KES | 285,000 | GMT+3 |
19 | Indonesia | IDR | 31,000,000 | GMT+7 |
20 | Spain | EUR | 1,800 | GMT+1 |
My Dataset
Short summary (what, why, source).
Contents
- Train/valid/test in
data/*.jsonl.
Source & Provenance
Where data came from, collection method, dates, terms, and permissions.
License
Apache-2.0 (this repo). Upstream licenses (if any): list clearly.
Usage
from datasets import load_dataset
ds = load_dataset("elolemyk/testing_repo_dataset")
print(ds)
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