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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    PdfminerException
Message:      No /Root object! - Is this really a PDF?
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pdfplumber/pdf.py", line 50, in __init__
                  self.doc = PDFDocument(PDFParser(stream), password=password or "")
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pdfminer/pdfdocument.py", line 738, in __init__
                  raise PDFSyntaxError("No /Root object! - Is this really a PDF?")
              pdfminer.pdfparser.PDFSyntaxError: No /Root object! - Is this really a PDF?
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1857, in __iter__
                  batch = formatter.format_batch(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 467, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 229, in decode_batch
                  return self.features.decode_batch(batch) if self.features else batch
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2143, in decode_batch
                  [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2144, in <listcomp>
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1414, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/pdf.py", line 162, in decode_example
                  return pdfplumber.open(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pdfplumber/pdf.py", line 107, in open
                  return cls(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pdfplumber/pdf.py", line 52, in __init__
                  raise PdfminerException(e)
              pdfplumber.utils.exceptions.PdfminerException: No /Root object! - Is this really a PDF?

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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

PsyArXiv Pdf is a renowned preprint server dedicated to publishing manuscripts in the psychiatry domain. Managed by the Centre of Open Science and a team of well-qualified professionals from prestigious universities, it aims to encourage and promote high-quality research in Education.

As part of our open science initiative, we aspired to provide training resources to ignite artificial intelligence research not only in traditional science but also across a broad range of scientific disciplines. As a manifestation of this commitment, we are releasing this valuable dataset today.

Please use this dataset responsibly and refer to the original website: https://osf.io/preprints/psyarxiv for guidance on how you can integrate this dataset into your research.

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