unslothai/unsloth · error · HTTPException
dataset_streaming is HF-only; remove local_datasets / S3 sou
Error message
dataset_streaming is HF-only; remove local_datasets / S3 source. Streaming is not supported with local file paths.
What it means
HTTP 400 when dataset_streaming=true and local_datasets is non-empty: streaming goes through the Hugging Face Hub loader only, and local file paths cannot be streamed through it. The request must not mix a local dataset source with streaming.
Source
Thrown at studio/backend/routes/training.py:1366
status_code = 422,
detail = "dataset_streaming requires max_steps > 0 because streaming datasets have no known length.",
)
if request.train_on_completions:
raise HTTPException(
status_code = 422,
detail = "dataset_streaming is not supported with train_on_completions yet.",
)
if request.eval_steps > 0:
train_split = request.train_split or "train"
if not request.eval_split or request.eval_split == train_split:
raise HTTPException(
status_code = 422,
detail = "dataset_streaming with evaluation requires a separate eval_split.",
)
# Streaming is HF-only: reject when the request also carries a local dataset path or an
# S3 config, since those sources cannot be streamed via HF's loader.
if request.local_datasets:
raise HTTPException(
status_code = 400,
detail = (
"dataset_streaming is HF-only; remove local_datasets / S3 source. "
"Streaming is not supported with local file paths."
),
)
if request.s3_config is not None:
raise HTTPException(
status_code = 400,
detail = (
"dataset_streaming is HF-only; remove local_datasets / S3 source. "
"Streaming is not supported with S3 datasets."
),
)
if request.dataset_known_cached or request.dataset_local_path:
raise HTTPException(
status_code = 422,
detail = (View on GitHub (pinned to 203007d190)
Solutions
- Remove local_datasets from the request (and train from hf_dataset with streaming)
- Or disable dataset_streaming to train from the local files
- Also check for an s3_config - it is rejected for the same reason (see the S3 variant of this error)
Example fix
// before
{"dataset_streaming": true, "local_datasets": ["/data/train.jsonl"], "hf_dataset": "org/ds"} // 400
// after
{"dataset_streaming": true, "hf_dataset": "org/ds"} Defensive patterns
Strategy: validation
Validate before calling
def streaming_config_valid(p: dict) -> bool:
if not p.get("dataset_streaming"):
return True
return not p.get("local_datasets") Try / catch
resp = client.post("/training/start", payload)
if resp.status_code == 400 and "local_datasets" in resp.text:
payload.pop("local_datasets", None)
resp = client.post("/training/start", payload) Prevention
- Streaming requests must carry hf_dataset only: no local_datasets, no s3_config
- Clean payloads of leftover source fields when switching data sources
- Validate mutually-exclusive fields client-side before posting
When it happens
Trigger: POST /training/start with dataset_streaming: true and a non-empty local_datasets list.
Common situations: Config preset that sets both fields; user adds a local eval file while streaming is on; migration from local to HF dataset that left the local path in place.
Related errors
- dataset_streaming is HF-only; remove local_datasets / S3 sou
- dataset_streaming requires hf_dataset; streaming is not supp
- dataset_streaming is not supported for vision or audio datas
- dataset_streaming is not supported for embedding training; t
- dataset_streaming is not yet supported on Apple Silicon (MLX
AI-assisted analysis of unslothai/unsloth@203007d190 (2026-08-15).
Data as JSON: /api/errors/089afc02f188e30b.
Report an issue: GitHub.