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Mr.Blue commited on
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upload cameo data

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  1. .gitattributes +2 -59
  2. README.md +155 -0
  3. experiment_structures/8PIR_A.pdb +3 -0
  4. experiment_structures/8PNS_A.pdb +3 -0
  5. experiment_structures/8PVW_A.pdb +3 -0
  6. experiment_structures/8Q83_A.pdb +3 -0
  7. experiment_structures/8QCE_B.pdb +3 -0
  8. experiment_structures/8QL1_C.pdb +3 -0
  9. experiment_structures/8RAY_A.pdb +3 -0
  10. experiment_structures/8RNZ_A.pdb +3 -0
  11. experiment_structures/8RPE_B.pdb +3 -0
  12. experiment_structures/8RTV_A.pdb +3 -0
  13. experiment_structures/8RU6_B.pdb +3 -0
  14. experiment_structures/8RV3_A.pdb +3 -0
  15. experiment_structures/8S02_B.pdb +3 -0
  16. experiment_structures/8S3M_A.pdb +3 -0
  17. experiment_structures/8S4P_F.pdb +3 -0
  18. experiment_structures/8S6D_A.pdb +3 -0
  19. experiment_structures/8S6G_A.pdb +3 -0
  20. experiment_structures/8S7A_A.pdb +3 -0
  21. experiment_structures/8TRF_A.pdb +3 -0
  22. experiment_structures/8UDE_A.pdb +3 -0
  23. experiment_structures/8W1M_A.pdb +3 -0
  24. experiment_structures/8W2Y_A.pdb +3 -0
  25. experiment_structures/8XOQ_A.pdb +3 -0
  26. experiment_structures/8XPI_A.pdb +3 -0
  27. experiment_structures/8XT5_A.pdb +3 -0
  28. experiment_structures/8XTN_A.pdb +3 -0
  29. experiment_structures/8XUF_C.pdb +3 -0
  30. experiment_structures/8XUJ_A.pdb +3 -0
  31. experiment_structures/8XVR_C.pdb +3 -0
  32. experiment_structures/8Y4V_A.pdb +3 -0
  33. experiment_structures/8Y77_B.pdb +3 -0
  34. experiment_structures/8Y7S_A.pdb +3 -0
  35. experiment_structures/8Y9U_B.pdb +3 -0
  36. experiment_structures/8YDU_A.pdb +3 -0
  37. experiment_structures/8YEN_A.pdb +3 -0
  38. experiment_structures/8YFH_A.pdb +3 -0
  39. experiment_structures/8YHN_A.pdb +3 -0
  40. experiment_structures/8YI2_A.pdb +3 -0
  41. experiment_structures/8YOZ_A.pdb +3 -0
  42. experiment_structures/8YP1_B.pdb +3 -0
  43. experiment_structures/8YPF_B.pdb +3 -0
  44. experiment_structures/8YQK_A.pdb +3 -0
  45. experiment_structures/8YSD_A.pdb +3 -0
  46. experiment_structures/8YSQ_A.pdb +3 -0
  47. experiment_structures/8YTV_A.pdb +3 -0
  48. experiment_structures/8YTW_A.pdb +3 -0
  49. experiment_structures/8YTY_A.pdb +3 -0
  50. experiment_structures/8YV5_B.pdb +3 -0
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+ *.pdb filter=lfs diff=lfs merge=lfs -text
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+ *.a3m filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-to-3d
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+ - protein-folding
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - protein
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+ - structure-prediction
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+ - cameo
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # CAMEO Dataset for Protein Structure Prediction
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+
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+ This dataset contains protein sequences and structures from CAMEO (Continuous Automated Model EvaluatiOn) for monomer structure prediction tasks.
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+
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+ ## Dataset Description
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+
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+ CAMEO is a community-wide initiative to continuously evaluate the performance of protein structure prediction methods. This dataset includes 141 protein targets collected from January to April 2025.
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+
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+ ### Dataset Structure
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+
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+ ```
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+ cameo/
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+ ├── sequences.fasta # All protein sequences (141 targets)
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+ ├── experiment_structures/ # Ground truth PDB structures (141 files)
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+ │ ├── 8PIR_A.pdb
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+ │ ├── 8PNS_A.pdb
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+ │ └── ...
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+ └── msa/ # Multiple Sequence Alignments (141 files)
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+ ├── 8PIR_A.a3m
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+ ├── 8PNS_A.a3m
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+ └── ...
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+ ```
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+
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+ ### Data Fields
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+
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+ Each sample contains:
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+ - **name**: Target identifier (e.g., "8PIR_A")
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+ - **sequence**: Protein amino acid sequence
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+ - **pdb**: Ground truth structure in PDB format
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+ - **msa**: Multiple sequence alignment in A3M format
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+
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+ ## Dataset Statistics
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+
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+ - **Total Samples**: 141 protein targets
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+ - **Date Range**: January 2025 - April 2025
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+ - **Sequence Length**: 33 to 603 amino acids
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+ - **Format**: FASTA for sequences, PDB for structures, A3M for MSAs
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+
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+ ## Usage
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+
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+ ### Using with AIRDD Framework
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+
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+ ```python
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+ from airdd.dataset.cameo import CAMEODataset
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+
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+ # Load dataset with MSA and labels
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+ dataset = CAMEODataset(
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+ task="monomer_structure_prediction",
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+ with_msa=True,
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+ with_label=True
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+ )
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+
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+ # Access sample
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+ sample = dataset[0]
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+ print(f"Name: {sample.input.name}")
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+ print(f"Sequence: {sample.input.sequence}")
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+ print(f"MSA: {sample.input.msa[:100]}...")
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+ print(f"Structure: {sample.label.pdb[:100]}...")
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+ ```
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+
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+ ### Direct Access
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+
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+ ```python
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+ from pathlib import Path
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+ from huggingface_hub import snapshot_download
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+
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+ # Download dataset
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+ data_dir = snapshot_download(
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+ repo_id="THU-ATOM/cameo_data",
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+ repo_type="dataset"
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+ )
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+
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+ # Read sequences
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+ fasta_file = Path(data_dir) / "cameo" / "sequences.fasta"
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+ with open(fasta_file) as f:
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+ sequences = f.read()
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+
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+ # Read structure
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+ pdb_file = Path(data_dir) / "cameo" / "experiment_structures" / "8PIR_A.pdb"
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+ with open(pdb_file) as f:
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+ structure = f.read()
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+
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+ # Read MSA
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+ msa_file = Path(data_dir) / "cameo" / "msa" / "8PIR_A.a3m"
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+ with open(msa_file) as f:
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+ msa = f.read()
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+ ```
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+
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+ ## Source Data
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+
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+ The raw data is collected from CAMEO's continuous evaluation platform. Each target includes:
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+ - Experimental protein structures from the PDB
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+ - Target sequences released weekly for blind prediction
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+ - Pre-computed multiple sequence alignments
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+
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+ ## Preprocessing
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+
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+ The dataset has been processed to organize files into a consistent structure:
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+ 1. Sequences merged into a single FASTA file
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+ 2. PDB structures renamed by target ID
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+ 3. MSA files flattened into a single directory
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+
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+ For preprocessing details, see: [AIRDD Repository](https://github.com/THU-ATOM/AIRDD)
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @misc{cameo_dataset_2025,
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+ title={CAMEO Dataset for Protein Structure Prediction},
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+ author={THU-ATOM},
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+ year={2025},
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+ publisher={Hugging Face},
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+ howpublished={\url{https://huggingface.co/datasets/THU-ATOM/cameo_data}}
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+ }
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+ ```
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+
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+ And the original CAMEO project:
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+
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+ ```bibtex
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+ @article{haas2018continuous,
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+ title={Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12},
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+ author={Haas, Juergen and Barbato, Alessandro and Behrendt, Dario and Studer, Gabriel and Roth, Steven and Bertoni, Martino and Mostaguir, Khaled and Gumienny, Rafal and Schwede, Torsten},
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+ journal={Proteins: Structure, Function, and Bioinformatics},
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+ volume={86},
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+ pages={387--398},
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+ year={2018},
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+ publisher={Wiley Online Library}
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+ }
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+ ```
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+
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+ ## License
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+
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+ This dataset is released under the Apache License 2.0.
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+
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+ ## Contact
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+
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+ For questions or issues, please open an issue on the [AIRDD GitHub repository](https://github.com/THU-ATOM/AIRDD).
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