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import os
import pandas as pd
import datasets
# Define the dataset
class MyCsvDataset(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features({
"TrackName": datasets.Value("string"),
"TrackID": datasets.Value("int32"),
"SampleURL": datasets.Value("string"),
"ReleaseYear": datasets.Value("int32"),
"Genres": datasets.Value("string"),
"danceability": datasets.Value("float32"),
"energy": datasets.Value("float32"),
"loudness": datasets.Value("float32"),
"speechiness": datasets.Value("float32"),
"acousticness": datasets.Value("float32"),
"instrumentalness": datasets.Value("float32"),
"liveness": datasets.Value("float32"),
"valence": datasets.Value("float32"),
"tempo": datasets.Value("float32"),
"key": datasets.Value("int32"),
"mode": datasets.Value("int32"),
"duration_ms": datasets.Value("int32"),
"Popularity": datasets.Value("int32"),
"pNum": datasets.Value("int32"),
"playlistID": datasets.Value("string"),
"label": datasets.Value("string"),
"userCat": datasets.Value("string"),
"demoCat": datasets.Value("string"),
"length": datasets.Value("int32"),
"playlistTitle": datasets.Value("string"),
"nFoll": datasets.Value("int32"),
"nTracks": datasets.Value("int32"),
})
)
def _split_generators(self, dl_manager):
# Define the dataset splits
data_dir = dl_manager.download_and_extract("path_to_your_data")
csv_file = os.path.join(data_dir, "your_dataset.csv")
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"csv_file": csv_file},
),
]
def _generate_examples(self, csv_file):
# Yield examples from the CSV file
df = pd.read_csv(csv_file)
for idx, row in df.iterrows():
yield idx, {
"TrackName": row["TrackName"],
"TrackID": row["TrackID"],
"SampleURL": row["SampleURL"],
"ReleaseYear": row["ReleaseYear"],
"Genres": row["Genres"],
"danceability": row["danceability"],
"energy": row["energy"],
"loudness": row["loudness"],
"speechiness": row["speechiness"],
"acousticness": row["acousticness"],
"instrumentalness": row["instrumentalness"],
"liveness": row["liveness"],
"valence": row["valence"],
"tempo": row["tempo"],
"key": row["key"],
"mode": row["mode"],
"duration_ms": row["duration_ms"],
"Popularity": row["Popularity"],
"pNum": row["pNum"],
"playlistID": row["playlistID"],
"label": row["label"],
"userCat": row["userCat"],
"demoCat": row["demoCat"],
"length": row["length"],
"playlistTitle": row["playlistTitle"],
"nFoll": row["nFoll"],
"nTracks": row["nTracks"],
}
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