Merge pull request #439 from huggingface/training_hub_dataset

[Book] Add small error management + start training (with generic dataset inclusion).

1 files changed, 73 insertions, 0 deletions

diff --git a/candle-datasets/src/hub.rs b/candle-datasets/src/hub.rs
new file mode 100644
index 00000000..b135e148
--- /dev/null
+++ b/candle-datasets/src/hub.rs
@@ -0,0 +1,73 @@
+use hf_hub::{
+    api::sync::{Api, ApiRepo},
+    Repo, RepoType,
+};
+use parquet::file::reader::SerializedFileReader;
+use std::fs::File;
+
+#[derive(thiserror::Error, Debug)]
+pub enum Error {
+    #[error("ApiError : {0}")]
+    ApiError(#[from] hf_hub::api::sync::ApiError),
+
+    #[error("IoError : {0}")]
+    IoError(#[from] std::io::Error),
+
+    #[error("ParquetError : {0}")]
+    ParquetError(#[from] parquet::errors::ParquetError),
+}
+
+fn sibling_to_parquet(
+    rfilename: &str,
+    repo: &ApiRepo,
+) -> Result<SerializedFileReader<File>, Error> {
+    let local = repo.get(rfilename)?;
+    let file = File::open(local)?;
+    let reader = SerializedFileReader::new(file)?;
+    Ok(reader)
+}
+
+pub fn from_hub(api: &Api, dataset_id: String) -> Result<Vec<SerializedFileReader<File>>, Error> {
+    let repo = Repo::with_revision(
+        dataset_id,
+        RepoType::Dataset,
+        "refs/convert/parquet".to_string(),
+    );
+    let repo = api.repo(repo);
+    let info = repo.info()?;
+
+    let files: Result<Vec<_>, _> = info
+        .siblings
+        .into_iter()
+        .filter_map(|s| -> Option<Result<_, _>> {
+            let filename = s.rfilename;
+            if filename.ends_with(".parquet") {
+                let reader_result = sibling_to_parquet(&filename, &repo);
+                Some(reader_result)
+            } else {
+                None
+            }
+        })
+        .collect();
+    let files = files?;
+
+    Ok(files)
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use parquet::file::reader::FileReader;
+
+    #[test]
+    fn test_dataset() {
+        let api = Api::new().unwrap();
+        let files = from_hub(
+            &api,
+            "hf-internal-testing/dummy_image_text_data".to_string(),
+        )
+        .unwrap();
+        assert_eq!(files.len(), 1);
+        assert_eq!(files[0].metadata().file_metadata().num_rows(), 20);
+    }
+}