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update README.md, add v0.2 info

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@@ -11,7 +11,7 @@ size_categories:
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  - n<1K
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  ---
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- # Neoantigen Discovery Dataset (NDD) - v0.1
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  ---
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@@ -28,7 +28,7 @@ NDD addresses this need by providing a curated, standardized, and feature-rich d
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  - A structured design that supports both peptide-level predictions and patient-level cohort analyses.
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  - Preservation of assay details to ensure reliable immunogenicity labels and reproducibility.
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- NDD is not just a file collection, but a community resource for advancing model development, evaluation, and integration with experimental data. The current release, NDD v0.1, marks the starting point of an ongoing effort to expand data coverage, enrich feature annotations, and promote collaboration across the research community.
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  ---
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@@ -82,10 +82,10 @@ NDD provides information at three levels: basic fields, predicted features, and
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  The dataset is released in tab-separated values (TSV, UTF-8 encoded) format.
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- - **Main file:** `data/ndd_v0.1.tsv`
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  Each row represents a mutation–HLA–peptide entry, combining both basic fields and predicted features.
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- - **Patient-level metadata:** `data/patient_metadata.tsv`
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  Contains information at the patient dimension, such as extended HLA typing, clinical outcomes, and treatment details when available.
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  *Note:* Patient IDs are anonymized to ensure privacy but remain consistent across files, enabling cohort-level analysis.
@@ -143,17 +143,17 @@ All contributions will be acknowledged in future version updates.
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  If you use NDD in your research, please cite as:
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  **Neoantigen Discovery Dataset (NDD), version 0.1**
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- GitHub Repository: [https://github.com/NeoDiscovery/NDD-v0.1](https://github.com/NeoDiscovery/NDD-v0.1)
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  Hugging Face Dataset: *to be released*
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  For formal publications, you may include the following BibTeX entry:
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  ```bibtex
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  @misc{ndd2025,
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- title = {Neoantigen Discovery Dataset (NDD), version 0.1},
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  author = {{Neoantigen Discovery Dataset (NDD) Contributors}},
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  year = {2025},
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- howpublished = {\url{https://github.com/NeoDiscovery/NDD-v0.1}},
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  note = {Accessed: YYYY-MM-DD}
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  }
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  ```
 
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  - n<1K
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  ---
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+ # Neoantigen Discovery Dataset (NDD)
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  ---
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  - A structured design that supports both peptide-level predictions and patient-level cohort analyses.
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  - Preservation of assay details to ensure reliable immunogenicity labels and reproducibility.
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+ NDD is not just a file collection, but a community resource for advancing model development, evaluation, and integration with experimental data. The current release, NDD v0.2, marks the starting point of an ongoing effort to expand data coverage, enrich feature annotations, and promote collaboration across the research community.
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  ---
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  The dataset is released in tab-separated values (TSV, UTF-8 encoded) format.
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+ - **Main file:** `data/ndd_v0.2.tsv`
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  Each row represents a mutation–HLA–peptide entry, combining both basic fields and predicted features.
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+ - **Patient-level metadata:** `data/patient_metadata_v0.2.tsv`
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  Contains information at the patient dimension, such as extended HLA typing, clinical outcomes, and treatment details when available.
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  *Note:* Patient IDs are anonymized to ensure privacy but remain consistent across files, enabling cohort-level analysis.
 
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  If you use NDD in your research, please cite as:
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  **Neoantigen Discovery Dataset (NDD), version 0.1**
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+ GitHub Repository: [https://github.com/NeoDiscovery/NDD](https://github.com/NeoDiscovery/NDD)
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  Hugging Face Dataset: *to be released*
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  For formal publications, you may include the following BibTeX entry:
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  ```bibtex
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  @misc{ndd2025,
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+ title = {Neoantigen Discovery Dataset (NDD), version 0.2},
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  author = {{Neoantigen Discovery Dataset (NDD) Contributors}},
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  year = {2025},
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+ howpublished = {\url{https://github.com/NeoDiscovery/NDD}},
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  note = {Accessed: YYYY-MM-DD}
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  }
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  ```