ibm/otter_dude_distmult
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find a dataset script at /src/services/worker/ibm/otter_dude/otter_dude.py or any data file in the same directory. Couldn't find 'ibm/otter_dude' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in ibm/otter_dude.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/ibm/otter_dude/otter_dude.py or any data file in the same directory. Couldn't find 'ibm/otter_dude' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in ibm/otter_dude.Need help to make the dataset viewer work? Open a discussion for direct support.
Otter DUDe Dataset Card
Otter DUDe includes 1,452,568 instances of drug-target interactions.
Dataset details
DUDe
DUDe comprises a collection of 22,886 active compounds and their corresponding affinities towards 102 targets. For our study, we utilized a preprocessed version of the DUDe, which includes 1,452,568 instances of drug-target interactions. To prevent any data leakage, we eliminated the negative interactions and the overlapping triples with the TDC DTI dataset. As a result, we were left with a total of 40,216 drug-target interaction pairs.
Original dataset:
- Citation: Samuel Sledzieski, Rohit Singh, Lenore Cowen, and Bonnie Berger. Adapting protein language models for rapid dti prediction. bioRxiv, pages 2022–11, 2022
Paper or resources for more information:
License:
MIT
Where to send questions or comments about the dataset:
Models trained on Otter UBC
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