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Co-authored-by: Daniel van Strien <[email protected]>
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docs/hub/datasets-pandas.md

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@@ -32,7 +32,7 @@ To load a file from Hugging Face, the path needs to start with `hf://`. For exam
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```
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To have more information on the Hugging Face paths and how they are implemented, please refer to the [the client library's documentation on the HfFileSystem](/docs/huggingface_hub/guides/hf_file_system).
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For more information on the Hugging Face paths and how they are implemented, please refer to the [the client library's documentation on the HfFileSystem](/docs/huggingface_hub/guides/hf_file_system).
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## Save a DataFrame
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```
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Since the dataset is in a supported structure ("metadata.csv" file with "file_name" field), you can save this dataset to Hugging Face and the Dataset Viewer shows both the metadata and images on Hugging Face.
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Since the dataset is in a supported structure (a `metadata.csv` file with a `file_name` field), you can save this dataset to Hugging Face and the Dataset Viewer shows both the metadata and images on Hugging Face.
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```python
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from huggingface_hub import HfApi
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Since the dataset is in a supported structure ("metadata.csv" file with "file_name" field), you can save this dataset to Hugging Face and the Dataset Viewer shows both the metadata and audios on Hugging Face.
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Since the dataset is in a supported structure (a `metadata.csv` file with a `file_name` field), you can save it to Hugging Face, and the Hub Dataset Viewer shows both the metadata and audio.
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```python
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from huggingface_hub import HfApi

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