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6 changes: 3 additions & 3 deletions phases/00-setup-and-tooling/09-data-management/docs/en.md
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ pip install datasets huggingface_hub
```python
from datasets import load_dataset

dataset = load_dataset("imdb")
dataset = load_dataset("stanfordnlp/imdb")
print(dataset)
print(dataset["train"][0])
```
Expand All @@ -72,7 +72,7 @@ Streaming gives you an `IterableDataset`. You process rows as they arrive. Memor
The `datasets` library uses Apache Arrow under the hood. You can convert to other formats depending on what your pipeline needs.

```python
dataset = load_dataset("imdb", split="train")
dataset = load_dataset("stanfordnlp/imdb", split="train")

dataset.to_csv("imdb_train.csv")
dataset.to_json("imdb_train.json")
Expand Down Expand Up @@ -101,7 +101,7 @@ Every ML project needs three splits:
Some datasets come pre-split. When they don't, split them yourself:

```python
dataset = load_dataset("imdb", split="train")
dataset = load_dataset("stanfordnlp/imdb", split="train")

split = dataset.train_test_split(test_size=0.2, seed=42)
train_val = split["train"].train_test_split(test_size=0.125, seed=42)
Expand Down