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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