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  1. README.md +150 -27
  2. _POSTPROCESS_MANIFEST.json +35 -0
  3. tables/source_set=trembl/split=train/protein_entries_shard-000000.jsonl.gz +2 -2
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README.md CHANGED
@@ -11,7 +11,9 @@ tags:
11
  - biology
12
  - proteins
13
  - uniprot
14
- - fasta
 
 
15
  - protein-sequences
16
  - bioinformatics
17
  - train-validation-test-split
@@ -27,55 +29,176 @@ configs:
27
  - split: test
28
  path:
29
  - tables/source_set=*/split=test/*.jsonl.gz
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  ---
31
 
32
  # UniProtKB Processed
33
 
34
- Processed UniProtKB protein entries derived from LiteFold/UniProtKB FASTA shards.
 
 
35
 
36
- The processing pipeline parses UniProt FASTA headers, computes exact amino-acid
37
- sequence SHA-256 hashes, assigns deterministic train/validation/test splits, and
38
- writes queryable table files.
 
39
 
40
- ## Files
41
 
42
- - `tables/source_set=*/split=*/*.jsonl.gz` - Hugging Face viewer/loadable JSONL tables.
 
 
 
 
 
43
 
44
- - `_POSTPROCESS_MANIFEST.json` - processing metadata and split counts.
45
- - `split_counts.tsv` and `source_counts.tsv` - quick validation summaries.
46
 
47
- ## Columns
 
48
 
49
- Each row is one UniProtKB FASTA record. Important columns include:
 
 
 
 
50
 
51
- - `record_id`, `accession`, `base_accession`, `entry_name`
52
- - `source_db`, `reviewed`, `source_set`, `is_isoform`
53
- - `protein_name`, `organism_name`, `taxon_id`, `gene_name`
54
- - `protein_existence`, `sequence_version`, `length`
55
- - `sequence_sha256`, `source_slug`, `shard`, `record_index`
56
- - `split_strategy`, `split_version`, `split_group`, `split`
57
 
58
- ## Missing Values
59
 
60
- For Hugging Face Dataset Viewer compatibility, this dataset does not use JSON
61
- `null` values in table files.
62
 
63
- - Missing optional integer values are encoded as `-1`.
64
- - Missing optional string values are encoded as `""`.
65
 
66
- ## Splits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
67
 
68
- Splits are deterministic and assigned by `sequence_hash`.
 
 
 
 
69
 
70
- Default fractions are 80% train, 10% validation, and 10% test. Exact duplicate
71
- sequences are kept together when `SPLIT_KEY=sequence_hash`.
72
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
73
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
74
 
75
  ## Source
76
 
77
- Derived from LiteFold/UniProtKB, which was built from UniProtKB.
 
 
78
 
79
  ## License
80
 
81
  CC BY 4.0.
 
 
 
 
 
 
 
 
11
  - biology
12
  - proteins
13
  - uniprot
14
+ - uniprotkb
15
+ - swiss-prot
16
+ - trembl
17
  - protein-sequences
18
  - bioinformatics
19
  - train-validation-test-split
 
29
  - split: test
30
  path:
31
  - tables/source_set=*/split=test/*.jsonl.gz
32
+ - config_name: sprot
33
+ data_files:
34
+ - split: train
35
+ path:
36
+ - tables/source_set=sprot/split=train/*.jsonl.gz
37
+ - split: validation
38
+ path:
39
+ - tables/source_set=sprot/split=validation/*.jsonl.gz
40
+ - split: test
41
+ path:
42
+ - tables/source_set=sprot/split=test/*.jsonl.gz
43
+ - config_name: sprot_varsplic
44
+ data_files:
45
+ - split: train
46
+ path:
47
+ - tables/source_set=sprot_varsplic/split=train/*.jsonl.gz
48
+ - split: validation
49
+ path:
50
+ - tables/source_set=sprot_varsplic/split=validation/*.jsonl.gz
51
+ - split: test
52
+ path:
53
+ - tables/source_set=sprot_varsplic/split=test/*.jsonl.gz
54
+ - config_name: trembl
55
+ data_files:
56
+ - split: train
57
+ path:
58
+ - tables/source_set=trembl/split=train/*.jsonl.gz
59
+ - split: validation
60
+ path:
61
+ - tables/source_set=trembl/split=validation/*.jsonl.gz
62
+ - split: test
63
+ path:
64
+ - tables/source_set=trembl/split=test/*.jsonl.gz
65
  ---
66
 
67
  # UniProtKB Processed
68
 
69
+ This dataset is a table-friendly, split-aware version of LiteFold/UniProtKB.
70
+ It converts UniProtKB FASTA headers into normalized records that can be browsed
71
+ in the Hugging Face Dataset Viewer and loaded with the `datasets` library.
72
 
73
+ The table contains parsed protein metadata and deterministic train/validation/test
74
+ split assignments. To keep the dataset practical for table viewing, full amino
75
+ acid sequences are not duplicated here; each record includes `sequence_sha256`
76
+ for sequence-level identity and deduplication.
77
 
78
+ ## Dataset Summary
79
 
80
+ | Source set | Description | Records |
81
+ |---|---|---:|
82
+ | `sprot` | Swiss-Prot reviewed canonical proteins | 574,627 |
83
+ | `sprot_varsplic` | Swiss-Prot alternative isoform sequences | 41,333 |
84
+ | `trembl` | TrEMBL unreviewed proteins | 202,556,314 |
85
+ | **Total** | | **203,172,274** |
86
 
87
+ ## Splits
 
88
 
89
+ Splits are deterministic and assigned from the exact amino-acid sequence hash.
90
+ Exact duplicate sequences are kept in the same split.
91
 
92
+ | Split | Records |
93
+ |---|---:|
94
+ | `train` | 162,548,965 |
95
+ | `validation` | 20,308,533 |
96
+ | `test` | 20,314,776 |
97
 
98
+ These are exact-sequence splits, not homology-cluster splits. For strict
99
+ homology-aware model evaluation, split again by UniRef/MMseqs cluster ids.
 
 
 
 
100
 
101
+ ## Loading
102
 
103
+ Load all source sets:
 
104
 
105
+ ```python
106
+ from datasets import load_dataset
107
 
108
+ ds = load_dataset("LiteFold/UniProtKB", "default")
109
+ train = ds["train"]
110
+ valid = ds["validation"]
111
+ test = ds["test"]
112
+ ```
113
+
114
+ Load only Swiss-Prot reviewed entries:
115
+
116
+ ```python
117
+ from datasets import load_dataset
118
+
119
+ sprot = load_dataset("LiteFold/UniProtKB", "sprot")
120
+ ```
121
+
122
+ Load only TrEMBL:
123
+
124
+ ```python
125
+ from datasets import load_dataset
126
 
127
+ trembl = load_dataset("LiteFold/UniProtKB", "trembl", streaming=True)
128
+ for row in trembl["train"]:
129
+ print(row["accession"], row["protein_name"])
130
+ break
131
+ ```
132
 
133
+ Filter examples:
 
134
 
135
+ ```python
136
+ from datasets import load_dataset
137
+
138
+ ds = load_dataset("LiteFold/UniProtKB", "sprot", split="train")
139
+ human = ds.filter(lambda x: x["taxon_id"] == 9606)
140
+ reviewed_kinases = human.filter(lambda x: "kinase" in x["protein_name"].lower())
141
+ ```
142
+
143
+ For large-scale TrEMBL use, prefer streaming:
144
+
145
+ ```python
146
+ from datasets import load_dataset
147
+
148
+ rows = load_dataset("LiteFold/UniProtKB", "trembl", split="train", streaming=True)
149
+ for row in rows:
150
+ ...
151
+ ```
152
+
153
+ ## Columns
154
 
155
+ | Column | Type | Description |
156
+ |---|---|---|
157
+ | `record_id` | string | Full UniProt FASTA record id, e.g. `sp|Q6GZX4|001R_FRG3G` |
158
+ | `accession` | string | UniProt accession |
159
+ | `base_accession` | string | Accession without isoform suffix |
160
+ | `entry_name` | string | UniProt entry name |
161
+ | `reviewed` | bool | `true` for Swiss-Prot reviewed entries |
162
+ | `source_set` | string | `sprot`, `sprot_varsplic`, or `trembl` |
163
+ | `is_isoform` | bool | Whether the row is an isoform entry |
164
+ | `isoform_number` | int | Isoform suffix number, or `-1` if not applicable |
165
+ | `protein_name` | string | Parsed protein name from the FASTA header |
166
+ | `organism_name` | string | Parsed organism name |
167
+ | `taxon_id` | int | NCBI taxonomy id |
168
+ | `gene_name` | string | Parsed gene name, or `""` if unavailable |
169
+ | `protein_existence` | int | UniProt PE value, or `-1` if unavailable |
170
+ | `sequence_version` | int | UniProt sequence version, or `-1` if unavailable |
171
+ | `length` | int | Amino-acid sequence length |
172
+ | `sequence_sha256` | string | SHA-256 hash of the amino-acid sequence |
173
+ | `split` | string | `train`, `validation`, or `test` |
174
+
175
+ ## Missing Values
176
+
177
+ For stable Hugging Face Dataset Viewer schema inference, table files do not use
178
+ JSON `null` values.
179
+
180
+ - Missing optional integer values are encoded as `-1`.
181
+ - Missing optional string values are encoded as `""`.
182
+
183
+ ## Processing Notes
184
+
185
+ The public tables intentionally omit internal provenance columns such as raw
186
+ FASTA header, source shard, source file, record index, and split internals.
187
+ The postprocessing manifest is available in `_POSTPROCESS_MANIFEST.json`.
188
 
189
  ## Source
190
 
191
+ Derived from LiteFold/UniProtKB, which was built from UniProtKB FASTA releases.
192
+
193
+ Original source: UniProtKB.
194
 
195
  ## License
196
 
197
  CC BY 4.0.
198
+
199
+ ## Citation
200
+
201
+ If you use this dataset, cite UniProt:
202
+
203
+ The UniProt Consortium. UniProt: the Universal Protein Knowledgebase in 2023.
204
+ Nucleic Acids Research, 51(D1):D523-D531, 2023.
_POSTPROCESS_MANIFEST.json CHANGED
@@ -1,6 +1,17 @@
1
  {
2
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3
  "dataset_id": "uniprotkb",
 
 
 
 
 
 
 
 
 
 
 
4
  "hf_null_repair": {
5
  "files": 615,
6
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@@ -10,7 +21,31 @@
10
  "jsonl_compression": "gzip",
11
  "partition_by_split": true,
12
  "postprocess_script_version": "2026-05-13.3",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  "root": "/workspace/UniProtKB",
 
 
 
 
 
14
  "sources": [
15
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16
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3
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4
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5
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6
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7
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8
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9
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10
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12
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14
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  "hf_null_repair": {
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  "files": 615,
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  "null_values_replaced": 214328163,
 
21
  "jsonl_compression": "gzip",
22
  "partition_by_split": true,
23
  "postprocess_script_version": "2026-05-13.3",
24
+ "public_columns": [
25
+ "record_id",
26
+ "accession",
27
+ "base_accession",
28
+ "entry_name",
29
+ "reviewed",
30
+ "source_set",
31
+ "is_isoform",
32
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33
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34
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35
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36
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37
+ "protein_existence",
38
+ "sequence_version",
39
+ "length",
40
+ "sequence_sha256",
41
+ "split"
42
+ ],
43
  "root": "/workspace/UniProtKB",
44
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45
+ "files": 615,
46
+ "rows": 203172274
47
+ },
48
+ "slimmed_for_hf_viewer": true,
49
  "sources": [
50
  {
51
  "records_written": 574627,
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