Dataset Viewer
Auto-converted to Parquet
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:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 60, in _split_generators
                  self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
                                                                           ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 2392, in read_schema
                  file = ParquetFile(
                         ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 328, in __init__
                  self.reader.open(
                File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
                File "pyarrow/error.pxi", line 89, in pyarrow.lib.check_status
                File "/usr/local/lib/python3.12/gzip.py", line 438, in seek
                  return self._buffer.seek(offset, whence)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/_compression.py", line 139, in seek
                  while self.read(io.DEFAULT_BUFFER_SIZE):
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/gzip.py", line 544, in read
                  if not self._read_gzip_header():
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/gzip.py", line 513, in _read_gzip_header
                  last_mtime = _read_gzip_header(self._fp)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/gzip.py", line 473, in _read_gzip_header
                  raise BadGzipFile('Not a gzipped file (%r)' % magic)
              gzip.BadGzipFile: Not a gzipped file (b'PA')
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 208, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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.

Proteome-wide VESM variant effect scores

This repository provides precomputed proteome-wide (UniProtKB, hg19, and hg38) variant-effect prediction scores using the latest VESM models developed in the paper "Compressing the collective knowledge of ESM into a single protein language model" by Tuan Dinh, Seon-Kyeong Jang, Noah Zaitlen and Vasilis Ntranos.

VESM_3B and VESM3 are individual protein language models based on ESM2 (3B) and ESM3. The sequence-only VESM3 is the version of VESM3 using only sequence as the input. VESM++ is the ensemble of VESM_3B and VESM3.

Please see the corresponding GitHub repo (https://github.com/ntranoslab/vesm) for more details.

License

The predictions of VESM_3B are distributed under the MIT License. The VESM3 and VESM++ models are built with ESM3-Open (EvolutionaryScale), which is available under a non-commercial license agreement.

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