Spaces:
Running
Running
Update hugging_face.py
Browse files- hugging_face.py +10 -6
hugging_face.py
CHANGED
@@ -1,13 +1,15 @@
|
|
1 |
import pandas as pd
|
|
|
2 |
from datasets import load_dataset
|
3 |
|
4 |
-
def
|
5 |
dataset = load_dataset("MongoDB/airbnb_embeddings", streaming=True, split="train")
|
6 |
dataset = dataset.take(100)
|
7 |
dataset_df = pd.DataFrame(dataset)
|
8 |
dataset_df.head(5)
|
9 |
print("Columns:", dataset_df.columns)
|
10 |
records = dataset_df.to_dict(orient='records')
|
|
|
11 |
# To handle catch `NaT` values
|
12 |
for record in records:
|
13 |
for key, value in record.items():
|
@@ -19,10 +21,12 @@ def load_data():
|
|
19 |
else:
|
20 |
if pd.isnull(value):
|
21 |
record[key] = None
|
|
|
22 |
try:
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
|
|
27 |
except ValidationError as e:
|
28 |
-
|
|
|
1 |
import pandas as pd
|
2 |
+
|
3 |
from datasets import load_dataset
|
4 |
|
5 |
+
def get_listings():
|
6 |
dataset = load_dataset("MongoDB/airbnb_embeddings", streaming=True, split="train")
|
7 |
dataset = dataset.take(100)
|
8 |
dataset_df = pd.DataFrame(dataset)
|
9 |
dataset_df.head(5)
|
10 |
print("Columns:", dataset_df.columns)
|
11 |
records = dataset_df.to_dict(orient='records')
|
12 |
+
|
13 |
# To handle catch `NaT` values
|
14 |
for record in records:
|
15 |
for key, value in record.items():
|
|
|
21 |
else:
|
22 |
if pd.isnull(value):
|
23 |
record[key] = None
|
24 |
+
|
25 |
try:
|
26 |
+
# Convert each dictionary to a Movie instance
|
27 |
+
listings = [Listing(**record).dict() for record in records]
|
28 |
+
# Get an overview of a single datapoint
|
29 |
+
print(listings[0].keys())
|
30 |
+
return listings
|
31 |
except ValidationError as e:
|
32 |
+
print(e)
|