Add audio JSONL reader and tarred ASR dataset support by ssh-meister · Pull Request #1780 · NVIDIA-NeMo/Curator

ssh-meister · 2026-04-09T14:46:21Z

Description

Adds audio-focused JSONL reading, plain audio manifest reading, tarred ASR dataset support, and generic file-transfer stages to NeMo Curator.

This PR extends JsonlReader with task_type="audio" so JSONL manifests can now emit AudioTask objects directly instead of only DocumentBatch. The new audio reader path supports one-manifest-line-per-task fanout and also preserves stable _curator_dedup_id assignment via _generate_ids / _assign_ids.

In addition, this PR adds a plain audio manifest reader for JSONL manifests that already contain real file paths or URIs (for example local paths or s3://... URIs):

AudioManifestReader reads JSONL manifests into AudioTasks while preserving the original audio_filepath
manifest entries continue to carry stable sample_key values for downstream processing and checkpoint-friendly behavior

This PR also introduces a bridge for NeMo-style tarred audio datasets:

TarredAudioManifestReader reads sharded manifests and matches them to tar shards by shard id
MaterializeTarredAudioStage extracts only the needed tar member into a local file just before path-based audio stages
CleanupTemporaryAudioStage removes temporary files afterwards and restores the original manifest-style audio_filepath

This avoids eager extraction of the whole tar dataset, keeps compatibility with existing path-based ASR stages, and supports both strict and permissive handling of manifest entries missing from tar shards via skip_missing_entries.

TarredAudioManifestReader also follows the transport ideas used in NeMo's nemo_adapters.py, including support for fsspec-based remote access and pipe:-style specifiers, so the same reader can work with local files, S3-backed storage, and AIS-style commands such as pipe:ais get ....

To support remote file workflows beyond tarred datasets, this PR also adds generic file stages under nemo_curator.stages.file_io:

MaterializeFilesStage
UploadFilesStage
DeleteFilesStage
UploadManifestStage

These stages are designed for dict-backed tasks and operate on configurable field paths, including nested paths such as artifacts.local.audio_path. If a configured field path resolves to a string path or URI, the stage can materialize, upload, or delete the corresponding file. This makes the functionality reusable outside audio-specific code while still fitting naturally into audio pipelines.

UploadManifestStage operates on FileGroupTask outputs from writer stages, so it can be chained after JsonlWriter, ParquetWriter, ALM manifest writing, or other writers that emit file groups.

Checkpoint / resume building blocks

This PR also adds the first building blocks for audio-stage checkpointing and resume.

A stable sample_key has been introduced for AudioTask as a per-sample identity that is independent of runtime-specific task_id values. This key is now populated by both audio reader paths:

JsonlReader(task_type="audio") / JsonlAudioReaderStage
TarredAudioManifestReaderStage
plain audio manifest reading via AudioManifestReader

If an input manifest entry already contains sample_key, it is preserved as-is. Otherwise, a deterministic key is derived from stable sample identity fields such as audio_filepath, tar shard/member metadata, offset, duration, and dataset_name.

In addition, MaterializeTarredAudioStage supports optional durable materialization via:

materialization_dir: str | None = None

Behavior is:

if materialization_dir is None, the stage writes extracted audio to temporary local files
if materialization_dir is set, the stage writes extracted or segmented audio to a deterministic durable path derived from sample_key

This makes the tarred-audio bridge more checkpoint/resume-friendly without changing the default behavior for existing pipelines. CleanupTemporaryAudioStage continues to clean up true temporary files, while durable materialized files are left intact and audio_filepath is still restored back to the original manifest-style path after cleanup.

These changes do not yet implement full pipeline-level checkpoint orchestration, but they establish two core primitives needed for that next step:

a stable per-sample identifier (sample_key)
an optional persistent materialization location (materialization_dir)

Pipeline Examples

1. Tarred ASR pipeline

from nemo_curator.pipeline import Pipeline
from nemo_curator.stages.audio import (
    TarredAudioManifestReader,
    MaterializeTarredAudioStage,
    CleanupTemporaryAudioStage,
)
from nemo_curator.stages.audio.inference.asr_nemo import InferenceAsrNemoStage
from nemo_curator.stages.audio.metrics.get_wer import GetPairwiseWerStage
from nemo_curator.stages.audio.io import AudioToDocumentStage
from nemo_curator.stages.text.io.writer import JsonlWriter

pipeline = Pipeline(name="tarred_asr_pipeline")

pipeline.add_stage(
    TarredAudioManifestReader(
        manifest_paths="/path/to/manifests/manifest__OP_0..255_CL_.json",
        tar_paths="/path/to/audio_shards/audio__OP_0..255_CL_.tar",
        skip_missing_entries=True,
    )
)
pipeline.add_stage(MaterializeTarredAudioStage())
pipeline.add_stage(InferenceAsrNemoStage(model_name="nvidia/stt_en_fastconformer_hybrid_large_pc"))
pipeline.add_stage(GetPairwiseWerStage(text_key="text", pred_text_key="pred_text", wer_key="wer"))
pipeline.add_stage(CleanupTemporaryAudioStage())
pipeline.add_stage(AudioToDocumentStage())
pipeline.add_stage(JsonlWriter(path="/path/to/output"))

2. Plain remote manifest -> local materialization -> ASR -> upload result manifest

from nemo_curator.pipeline import Pipeline
from nemo_curator.stages.audio import AudioManifestReader
from nemo_curator.stages.audio.inference.asr_nemo import InferenceAsrNemoStage
from nemo_curator.stages.audio.metrics.get_wer import GetPairwiseWerStage
from nemo_curator.stages.audio.io import AudioToDocumentStage
from nemo_curator.stages.file_io import MaterializeFilesStage, UploadManifestStage
from nemo_curator.stages.text.io.writer import JsonlWriter
pipeline = Pipeline(name="remote_manifest_asr_pipeline")
pipeline.add_stage(
    AudioManifestReader(
        manifest_paths="s3://my-bucket/input_manifests/",
        files_per_partition=8,
    )
)
# Materialize remote audio objects locally so downstream path-based audio stages
# can consume them. This example overwrites audio_filepath in-place.
pipeline.add_stage(
    MaterializeFilesStage(
        source_field_path="audio_filepath",
        output_field_path="audio_filepath",
        temp_dir="/tmp/nemo_curator_audio",
    )
)
pipeline.add_stage(InferenceAsrNemoStage(model_name="nvidia/stt_en_fastconformer_hybrid_large_pc"))
pipeline.add_stage(GetPairwiseWerStage(text_key="text", pred_text_key="pred_text", wer_key="wer"))
pipeline.add_stage(AudioToDocumentStage())
pipeline.add_stage(JsonlWriter(path="/tmp/asr_results"))
pipeline.add_stage(
    UploadManifestStage(
        protocol="s3",
        bucket="my-output-bucket",
        key_prefix="asr/results",
    )
)

3. Upload files from a nested field and then delete local copies

from nemo_curator.pipeline import Pipeline
from nemo_curator.stages.audio import AudioManifestReader
from nemo_curator.stages.file_io import UploadFilesStage, DeleteFilesStage
pipeline = Pipeline(name="upload_and_cleanup_pipeline")
pipeline.add_stage(
    AudioManifestReader(
        manifest_paths="/path/to/local_manifest.jsonl",
    )
)
# Example manifest entry shape:
# {
#   "audio_filepath": "/data/source.wav",
#   "artifacts": {
#       "local": {
#           "segment_path": "/tmp/segments/sample_001.wav"
#       }
#   }
# }
pipeline.add_stage(
    UploadFilesStage(
        source_field_path="artifacts.local.segment_path",
        output_field_path="artifacts.remote.segment_uri",
        protocol="s3",
        bucket="my-artifact-bucket",
        key_prefix="segments",
    )
)
pipeline.add_stage(
    DeleteFilesStage(
        source_field_path="artifacts.local.segment_path",
    )
)

4. Upload files using a nested key field for destination naming

from nemo_curator.pipeline import Pipeline
from nemo_curator.stages.audio import AudioManifestReader
from nemo_curator.stages.file_io import UploadFilesStage
pipeline = Pipeline(name="upload_with_key_field_pipeline")
pipeline.add_stage(AudioManifestReader(manifest_paths="/path/to/manifest.jsonl"))
# Example manifest entry shape:
# {
#   "audio_filepath": "/tmp/processed.wav",
#   "storage": {
#       "target_key": "processed/run_001/sample_42.wav"
#   }
# }
pipeline.add_stage(
    UploadFilesStage(
        source_field_path="audio_filepath",
        output_field_path="uploaded_audio_uri",
        protocol="s3",
        bucket="my-output-bucket",
        key_field_path="storage.target_key",
    )
)

5. Durable tarred materialization for checkpoint-friendly runs

from nemo_curator.pipeline import Pipeline
from nemo_curator.stages.audio import (
    TarredAudioManifestReader,
    MaterializeTarredAudioStage,
    CleanupTemporaryAudioStage,
)

pipeline = Pipeline(name="durable_tarred_materialization")

pipeline.add_stage(
    TarredAudioManifestReader(
        manifest_paths="/path/to/manifests/manifest__OP_0..255_CL_.json",
        tar_paths="/path/to/audio_shards/audio__OP_0..255_CL_.tar",
    )
)

pipeline.add_stage(
    MaterializeTarredAudioStage(
        materialization_dir="/raid/materialized_audio_cache",
    )
)

# ... downstream audio stages ...

pipeline.add_stage(CleanupTemporaryAudioStage())

Signed-off-by: Sasha Meister <ameister@nvidia.com>

copy-pr-bot · 2026-04-09T14:46:25Z

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greptile-apps · 2026-04-09T14:55:26Z

Greptile Summary

This PR introduces audio-focused JSONL reading (JsonlReader(task_type="audio")), a plain AudioManifestReader, a tarred ASR dataset bridge (TarredAudioManifestReader / MaterializeTarredAudioStage / CleanupTemporaryAudioStage), and generic file-IO stages (MaterializeFilesStage, UploadFilesStage, DeleteFilesStage, UploadManifestStage). It also adds a stable sample_key to AudioTask as a per-sample identity for checkpoint/resume.

All previously flagged P0/P1 issues have been addressed in this revision: _AttrDict.__setattr__/__delattr__ dead code, the sample_key serialization gap, the _PipeStream SIGPIPE crash, the strict=True zip mismatch, the missing limit passthrough, the _should_segment duration-only oversight, and the incorrect test import for CleanupTemporaryAudioStage.

Confidence Score: 5/5

Safe to merge; all previously flagged P0/P1 issues have been resolved and remaining findings are P2 suggestions.

All eight previously flagged issues across multiple review rounds have been addressed — including the _AttrDict dead-code bug, sample_key serialization loss, SIGPIPE crash, strict=True zip, missing limit passthrough, and incorrect test import. Only P2 style/design suggestions remain (sub-sample duration edge case, temp-file tracking gap, and field name shadowing).

nemo_curator/stages/audio/io/materialize.py (sub-sample duration rounding), nemo_curator/stages/file_io/files.py (temp-file cleanup tracking)

Important Files Changed

Filename	Overview
nemo_curator/tasks/audio_task.py	Adds `_AttrDict`, `build_audio_sample_key`, and `AudioTask` with stable `sample_key`; all previously flagged issues (dead `__setattr__`/`__delattr__`, `sample_key` not written back) are fixed.
nemo_curator/stages/audio/io/tarred.py	Tarred manifest reader with shard matching, `MaterializeTarredAudioStage`, `limit` now surfaced; SIGPIPE fix and strict-zip issue resolved in prior review cycle.
nemo_curator/stages/audio/io/materialize.py	`BaseAudioMaterializeStage` and `CleanupTemporaryAudioStage`; `_should_segment` now correctly handles `duration`-only entries. Minor: tiny durations that round to 0 samples produce a silent empty file.
nemo_curator/stages/audio/io/manifest.py	Clean `AudioManifestReader` and `AudioManifestReaderStage`; `audio_filepath` is always preserved even when field filtering is active.
nemo_curator/stages/text/io/reader/jsonl.py	Adds `JsonlAudioReaderStage` and extends `JsonlReader` with `task_type="audio"`; `strict=False` zip and correct `sample_key` propagation applied.
nemo_curator/stages/file_io/files.py	Generic `MaterializeFilesStage`, `UploadFilesStage`, `DeleteFilesStage`, `UploadManifestStage`; temp files created by `MaterializeFilesStage` are not tracked in task metadata, so there is no built-in cleanup path.
nemo_curator/utils/remote_io.py	New `PipeStream`, fsspec helpers, `expand_sharded_paths`, `copy_path`, and `remove_path`; SIGPIPE return code tolerated correctly via `_is_allowed_sigpipe_return_code`.

Sequence Diagram

sequenceDiagram
    participant Pipeline
    participant TarredAudioManifestReader
    participant TarredAudioManifestPartitionStage
    participant TarredAudioManifestReaderStage
    participant MaterializeTarredAudioStage
    participant CleanupTemporaryAudioStage

    Pipeline->>TarredAudioManifestReader: decompose()
    TarredAudioManifestReader-->>TarredAudioManifestPartitionStage: expand sharded manifest paths
    TarredAudioManifestPartitionStage-->>TarredAudioManifestReaderStage: FileGroupTask (manifest shard list)
    TarredAudioManifestReaderStage->>TarredAudioManifestReaderStage: match shard_id to tar_path
    TarredAudioManifestReaderStage->>TarredAudioManifestReaderStage: build_audio_sample_key per entry
    TarredAudioManifestReaderStage-->>Pipeline: list[AudioTask] (with _tar_path, _tar_member, sample_key)

    Pipeline->>MaterializeTarredAudioStage: process_batch(tasks)
    MaterializeTarredAudioStage->>MaterializeTarredAudioStage: group by (tar_path, tar_member)
    MaterializeTarredAudioStage->>MaterializeTarredAudioStage: open_binary_stream -> tarfile streaming
    MaterializeTarredAudioStage->>MaterializeTarredAudioStage: _should_segment? -> write bytes or soundfile segment
    MaterializeTarredAudioStage-->>Pipeline: tasks with audio_filepath -> local temp (or durable) path

    Pipeline->>CleanupTemporaryAudioStage: process(task)
    CleanupTemporaryAudioStage->>CleanupTemporaryAudioStage: unlink _temporary_audio_path
    CleanupTemporaryAudioStage->>CleanupTemporaryAudioStage: restore audio_filepath from _manifest_audio_filepath
    CleanupTemporaryAudioStage-->>Pipeline: AudioTask (manifest path restored)

_{Reviews (17): Last reviewed commit: "sample_key declaration" | Re-trigger Greptile}

Signed-off-by: Sasha Meister <ameister@nvidia.com>

greptile-apps · 2026-04-09T15:11:09Z

Tip:

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Jorjeous · 2026-04-09T15:12:35Z

@ssh-meister plz fix linter and cherry pick this to dev branch with #1780 hashtag

Signed-off-by: Sasha Meister <ameister@nvidia.com>

…plain manifest support, and keep tarred audio materialization on a shared core. Signed-off-by: Sasha Meister <ameister@nvidia.com>

Signed-off-by: Sasha Meister <ameister@nvidia.com>

sarahyurick

Thanks!

sarahyurick · 2026-05-04T21:56:16Z

+
+
+@dataclass
+class AudioManifestReader(CompositeStage[_EmptyTask, AudioTask]):


Can we use the existing manifest reader?

sarahyurick · 2026-05-04T21:59:35Z


 @dataclass
-class JsonlReader(CompositeStage[_EmptyTask, DocumentBatch]):
+class JsonlAudioReaderStage(ProcessingStage[FileGroupTask, AudioTask]):


It seems confusing to have this under stages/text. It should be under audio right?

sarahyurick · 2026-05-04T22:00:08Z

+
+    def outputs(self) -> tuple[list[str], list[str]]:
+        output_fields = list(self.fields or [])
+        if self._generate_ids or self._assign_ids:


Is there a use case for generate/assign IDs here?

sarahyurick · 2026-05-04T22:00:33Z

+    _generate_ids: bool = False
+    _assign_ids: bool = False


Are these used for some audio pipelines, or are they just there to match the text version?

sarahyurick · 2026-05-04T22:01:18Z

+        if self._generate_ids or self._assign_ids:
+            from nemo_curator.stages.deduplication.id_generator import get_id_generator_actor
+
+            try:
+                self.id_generator = get_id_generator_actor()
+            except ValueError:
+                msg = (
+                    "ID generator is required when self._generate_ids or self._assign_ids is True, "
+                    "and the actor 'id_generator' does not exist. Please start the id_generator actor."
+                )
+                raise RuntimeError(msg) from None


Same comment as above.

sarahyurick · 2026-05-04T22:08:25Z

    assert result[0].data.iloc[0]["text"] == "hi"
+
+
+def test_process_batch_serializes_constructor_sample_key() -> None:


We don't need this test IMO.

sarahyurick · 2026-05-04T22:09:41Z

Is there a cleanup to remove any files created by these tests?

sarahyurick · 2026-05-04T22:09:52Z

No copyright needed on an empty file.

sarahyurick · 2026-05-04T22:10:18Z

Same comment as above.

sarahyurick · 2026-05-04T22:10:55Z

Yeah it's a bit confusing that audio tests are in the text directory.

ssh-meister added 5 commits April 9, 2026 06:24

JsonlAudioReaderStage and TarredAudioManifestReader

f44d39c

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Fix GitHub Actions / ruff errors

df28b5c

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Fix GitHub Actions / ruff errors

7ef229b

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Fix GitHub Actions / ruff errors

f2f7065

Signed-off-by: Sasha Meister <ameister@nvidia.com>

fix tarred audio cleanup and task metadata handling

8d9ff06

Signed-off-by: Sasha Meister <ameister@nvidia.com>

ssh-meister requested a review from a team as a code owner April 9, 2026 14:46

ssh-meister requested review from huvunvidia and removed request for a team April 9, 2026 14:46

Merge remote-tracking branch 'origin/main' into ameister/reader

133fc4f

ssh-meister enabled auto-merge (squash) April 9, 2026 14:50

greptile-apps Bot reviewed Apr 9, 2026

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Comment thread nemo_curator/stages/audio/io/tarred.py Outdated

Comment thread nemo_curator/stages/text/io/reader/jsonl.py Outdated

Comment thread nemo_curator/stages/audio/io/tarred.py

Comment thread nemo_curator/stages/audio/io/tarred.py Outdated

fix tarred audio segmentation and reader typing

cb90c3a

Signed-off-by: Sasha Meister <ameister@nvidia.com>

ssh-meister added 6 commits April 9, 2026 08:21

fix tarred audio segmentation and reader typing

64630e7

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Fix GitHub Actions / ruff errors

76dd039

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Merge remote-tracking branch 'origin/main' into ameister/reader

e1f41bb

Added stable and optional durable materialization

8bbd25b

Signed-off-by: Sasha Meister <ameister@nvidia.com>

fix linter errors

41bfc0e

Signed-off-by: Sasha Meister <ameister@nvidia.com>

fix linter errors

589b548

Signed-off-by: Sasha Meister <ameister@nvidia.com>

greptile-apps Bot reviewed Apr 16, 2026

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Comment thread nemo_curator/stages/audio/io/tarred.py Outdated

ssh-meister added 6 commits April 16, 2026 07:37

fix _PipeStream.__exit__ raises on SIGPIPE after early break

b57c979

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Merge remote-tracking branch 'origin/main' into ameister/reader

fab3340

Merge remote-tracking branch 'origin/main' into ameister/reader

a365731

Refactor remote audio file handling into generic file IO stages, add …

0b45679

…plain manifest support, and keep tarred audio materialization on a shared core. Signed-off-by: Sasha Meister <ameister@nvidia.com>

merge origin/main

5dc6cdb

Signed-off-by: Sasha Meister <ameister@nvidia.com>

fix linter errros

6aba05b

Signed-off-by: Sasha Meister <ameister@nvidia.com>

greptile-apps Bot reviewed Apr 30, 2026

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Comment thread nemo_curator/stages/text/io/reader/jsonl.py Outdated

fix strict=True zip raises ValueError when blank lines are skipped

8ff6d36

Signed-off-by: Sasha Meister <ameister@nvidia.com>

greptile-apps Bot reviewed Apr 30, 2026

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Comment thread tests/stages/audio/io/test_tarred.py

ssh-meister added 2 commits April 30, 2026 01:40

CleanupTemporaryAudioStage imported from wrong module fix

df24763

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Wrong monkeypatch target fix

c7b00fc

Signed-off-by: Sasha Meister <ameister@nvidia.com>

greptile-apps Bot reviewed Apr 30, 2026

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Comment thread nemo_curator/tasks/audio_task.py

Computed sample key is lost during serialization fix

3487b00

Signed-off-by: Sasha Meister <ameister@nvidia.com>

greptile-apps Bot reviewed Apr 30, 2026

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Comment thread tests/stages/text/io/reader/test_jsonl.py Outdated

Test assertion will fail — sample_key is injected into filtered data fix

f0f825b

Signed-off-by: Sasha Meister <ameister@nvidia.com>

ssh-meister self-assigned this Apr 30, 2026

ssh-meister added 3 commits April 30, 2026 02:47

removed double tar traversal for remote shards

4f40be7

Signed-off-by: Sasha Meister <ameister@nvidia.com>

Raise error for duration <= 0 and double file materialization prevention

409557e

Signed-off-by: Sasha Meister <ameister@nvidia.com>

sample_key declaration

35f8b5a

Signed-off-by: Sasha Meister <ameister@nvidia.com>

ssh-meister changed the base branch from main to ameister/checkpointing April 30, 2026 10:24

ssh-meister requested review from a team, VibhuJawa, abhinavg4, ayushdg, oyilmaz-nvidia, praateekmahajan, rlratzel, sarahyurick and suiyoubi as code owners April 30, 2026 10:24

ssh-meister changed the base branch from ameister/checkpointing to main April 30, 2026 10:25

sarahyurick reviewed May 4, 2026

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		@dataclass
		class AudioManifestReader(CompositeStage[_EmptyTask, AudioTask]):

		assert result[0].data.iloc[0]["text"] == "hi"


		def test_process_batch_serializes_constructor_sample_key() -> None:

Conversation

ssh-meister commented Apr 9, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Description

Checkpoint / resume building blocks

Pipeline Examples

1. Tarred ASR pipeline

2. Plain remote manifest -> local materialization -> ASR -> upload result manifest

3. Upload files from a nested field and then delete local copies

4. Upload files using a nested key field for destination naming

5. Durable tarred materialization for checkpoint-friendly runs

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greptile-apps Bot commented Apr 9, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Greptile Summary

Confidence Score: 5/5

Important Files Changed

Sequence Diagram

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greptile-apps Bot commented Apr 9, 2026

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Jorjeous commented Apr 9, 2026

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ssh-meister commented Apr 9, 2026 •

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