Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in PromptSystematicReview/ThePromptReport
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 72, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1904, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in PromptSystematicReview/ThePromptReport

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Prompt Report Dataset

This repository contains the dataset from the Prompt Report paper. Use huggingface hub or git lfs to download this, and use the instructions in our code repository to run the experiments. We also have a paper and website that detail our findings.

master_papers.csv

The master papers file is a master record of all the papers in the final dataset

arxiv_papers_for_human_review.csv

This csv contains the original group of papers reviewed by humans

blacklist.csv

This csv contains papers that were determined to be irrelevant / shouldn't be present in the final dataset.

papers/

This folder contains all the final set of papers, after scraping, deduplication, and review.

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