Dataset Viewer
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: HfHubHTTPError
Message: (Request ID: Root=1-6a672e16-7d01386f7fa1fe8d0bf71964;9b05e758-5912-4476-9c85-6e82c998eb07)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 130 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/sisaacson/tif-grpo-repro-bundle/revision/7d85bc1aef07a782e5f5914eb4e5488b277e13eb.
We had to rate limit your IP (44.222.55.104). To continue using our service, create a HF account or login to your existing account, and make sure you pass a HF_TOKEN if you're using the API.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 227, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
path,
...<6 lines>...
**config_kwargs,
)
File "/src/services/worker/src/worker/utils.py", line 390, in safe_load_dataset_builder
dataset_module = dataset_module_factory(
repo_dir,
revision=revision,
download_config=download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 608, in get_module
standalone_yaml_path = cached_path(
hf_dataset_url(self.name, config.REPOYAML_FILENAME, revision=self.commit_hash),
download_config=download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
).resolve_path(url_or_filename)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 339, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(parsed.type, parsed.id, revision)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 252, in _repo_and_revision_exist
self._api.repo_info(
~~~~~~~~~~~~~~~~~~~^
repo_id, revision=revision, repo_type=repo_type, timeout=constants.HF_HUB_ETAG_TIMEOUT
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3598, in repo_info
return method(
repo_id,
...<4 lines>...
files_metadata=files_metadata,
)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3360, in dataset_info
hf_raise_for_status(r)
~~~~~~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 868, in hf_raise_for_status
raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-6a672e16-7d01386f7fa1fe8d0bf71964;9b05e758-5912-4476-9c85-6e82c998eb07)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 130 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/sisaacson/tif-grpo-repro-bundle/revision/7d85bc1aef07a782e5f5914eb4e5488b277e13eb.
We had to rate limit your IP (44.222.55.104). To continue using our service, create a HF account or login to your existing account, and make sure you pass a HF_TOKEN if you're using the API.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Reproduction bundle: TIF-GRPO (ICML 2026 #11844)
This bundle contains the scripts, data, and results for the open reproduction of "Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis".
Contents
reward/— cloned TIF reward code from ZJU4HealthCare/TIF-GRPO.medical_report_abnormality.py— the anatomy-aware TIF reward.example.json— verl data schema example.
verify_reward_and_concordance.py— local verification script.generate_figures.py— Plotly figure generation.verification_results.json— JSON output of the verification script.ablation_results.csv— TIF reward ablation results.concordance_results.csv— Synthetic concordance results.figure_ablation.html,figure_concordance.html— Interactive figures.poster.html,poster_preview.pdf,poster_preview.png,poster_embed.html— Reproduction poster.amos_mm_20_metrics.json,amos_mm_20_per_study.csv,amos_mm_20_outputs.jsonl— AMOS-MM proxy inference outputs and metrics (20 studies, Qwen2-VL-2B).claim1.md…claim6.md,executive_summary.md— Logbook cell sources.
Published bundle dataset: sisaacson/tif-grpo-repro-bundle
How to rerun
# 1. Activate the project virtual environment (Python 3.12)
source .venv/bin/activate
# 2. Run the verification script
python verify_reward_and_concordance.py
# 3. Regenerate figures
python generate_figures.py
# 4. (Optional) Re-render the poster with posterly
python /path/to/posterly/tools/poster_check.py preflight poster.html
python /path/to/posterly/tools/poster_check.py measure poster.html
python /path/to/posterly/tools/poster_check.py polish poster.html --strict
python /path/to/posterly/tools/render_preview.py poster.html
Scope and limitations
This reproduction verifies only the released reward implementation and the methodology on synthetic data. The end-to-end report-generation results (Claims 1–3 and 6) are not reproduced because the trained checkpoint, training scripts, and gated primary datasets are not publicly available.
- Downloads last month
- 100