Datasets:

LiteFold
/

FLIP2

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+tables/data_unpacked_labeled_flip2_nucb_two_to_many.csv.jsonl filter=lfs diff=lfs merge=lfs -text
+tables/data_unpacked_labeled_flip2_trpb_one_to_many.csv.jsonl filter=lfs diff=lfs merge=lfs -text
+tables/data_unpacked_labeled_flip2_trpb_two_to_many.csv.jsonl filter=lfs diff=lfs merge=lfs -text
+tables/data_unpacked_labeled_flip2_trpb_by_position.csv.jsonl filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

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+---
+license: other
+pretty_name: FLIP v2
+size_categories:
+  - 100K<n<1M
+task_categories:
+  - other
+language:
+  - en
+tags:
+  - biology
+  - proteins
+  - fitness
+  - benchmark
+  - flip
+  - jsonl
+---
+# FLIP v2
+FLIP v2 benchmark splits for protein engineering tasks (amylase, hydrolase, etc.), normalized to newline-delimited JSON.
+Processed and uploaded by the [MegaData](https://github.com/) post-download pipeline
+(internal repo). Original source: <https://github.com/J-SNACKKB/FLIP>.
+## Statistics
+| | |
+|---|---|
+| Table files | 16 |
+| Total rows | 890,356 |
+| Total bytes | 440.98 MiB (462,398,539) |
+## Tables
+| Table | Rows | Bytes |
+|---|---:|---:|
+| `data_unpacked_labeled_flip2_amylase_by_mutation.csv.jsonl` | 3,706 | 2.18 MiB |
+| `data_unpacked_labeled_flip2_amylase_close_to_far.csv.jsonl` | 3,706 | 2.18 MiB |
+| `data_unpacked_labeled_flip2_amylase_far_to_close.csv.jsonl` | 3,706 | 2.18 MiB |
+| `data_unpacked_labeled_flip2_amylase_one_to_many.csv.jsonl` | 3,706 | 2.18 MiB |
+| `data_unpacked_labeled_flip2_hydro_low_to_high.csv.jsonl` | 24,935 | 6.02 MiB |
+| `data_unpacked_labeled_flip2_hydro_three_to_many.csv.jsonl` | 24,935 | 6.06 MiB |
+| `data_unpacked_labeled_flip2_hydro_to_P01053.csv.jsonl` | 24,935 | 5.98 MiB |
+| `data_unpacked_labeled_flip2_hydro_to_P06241.csv.jsonl` | 24,935 | 5.97 MiB |
+| `data_unpacked_labeled_flip2_hydro_to_P0A9X9.csv.jsonl` | 24,935 | 5.98 MiB |
+| `data_unpacked_labeled_flip2_ired_two_to_many.csv.jsonl` | 8,586 | 3.95 MiB |
+| `data_unpacked_labeled_flip2_nucb_two_to_many.csv.jsonl` | 55,759 | 16.85 MiB |
+| `data_unpacked_labeled_flip2_pdz3_single_to_double.csv.jsonl` | 734 | 213.50 KiB |
+| `data_unpacked_labeled_flip2_rhomax_by_wild_type.csv.jsonl` | 884 | 389.02 KiB |
+| `data_unpacked_labeled_flip2_trpb_by_position.csv.jsonl` | 228,298 | 126.97 MiB |
+| `data_unpacked_labeled_flip2_trpb_one_to_many.csv.jsonl` | 228,298 | 126.94 MiB |
+| `data_unpacked_labeled_flip2_trpb_two_to_many.csv.jsonl` | 228,298 | 126.95 MiB |
+## Layout
+```
+.
+├── _MANIFEST.json                 # aggregate manifest (per-table counts)
+└── tables/<source_slug>.jsonl    # normalized rows (one JSON object per line)
+```
+Each line in a `tables/*.jsonl` file is a JSON object with at least
+`dataset_id`, `row` (the raw upstream row), `row_index`, and `source_file`
+fields, so every row carries its upstream provenance.
+## Loading
+```bash
+hf download LiteFold/FLIP2 --repo-type dataset --local-dir ./flip2
+```
+Programmatic streaming:
+```python
+import json
+from pathlib import Path
+from huggingface_hub import snapshot_download
+local = snapshot_download(repo_id="LiteFold/FLIP2", repo_type="dataset")
+for jsonl in sorted(Path(local, "tables").glob("*.jsonl")):
+    with jsonl.open() as f:
+        for line in f:
+            row = json.loads(line)
+            ...  # row["row"] is the upstream record
+```
+## License
+See upstream FLIP repository for licensing.
+## Citation
+> Dallago C, et al. FLIP: Benchmark tasks in fitness landscape inference for proteins. NeurIPS Datasets and Benchmarks, 2021.
+## Provenance
+Built from the local manifest entry `flip2` of `manifests/atlas_download_plan.json`.
+Pipeline source: `megadata-post normalize --dataset flip2 --tables-only`.

_MANIFEST.json ADDED Viewed

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+{
+  "category": "labeled",
+  "dataset_id": "flip2",
+  "format": "jsonl table rows with provenance",
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+}

tables/data_unpacked_labeled_flip2_amylase_by_mutation.csv.jsonl ADDED Viewed