feat(dataset): publish Open-UTS 126-series subset

.ruff_cache/.gitignore

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+# Automatically created by ruff.
+*

.ruff_cache/CACHEDIR.TAG

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+Signature: 8a477f597d28d172789f06886806bc55

CORRECTIONS.json

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+{
+  "base_revision": "c6aded12d5657b96d83595500eb60c1412c8c3a2",
+  "status": "public_release_corrections_only",
+  "interval_convention": "zero-based half-open [start,end)",
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+      "source": "NAB",
+      "reason": "source_labeling_excludes_probation",
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+      "source": "NAB",
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+      "evidence": "source-mappings.json"
+    },
+    {
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+      "source": "NAB",
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+      "evidence": "source-mappings.json"
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+      "source": "NAB",
+      "reason": "source_labeling_excludes_probation",
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+      "source": "NAB",
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+    },
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+      "source": "NAB",
+      "reason": "source_labeling_excludes_probation",
+      "ranges": [
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+      ],
+      "evidence": "source-mappings.json"
+    },
+    {
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+      "source": "NAB",
+      "reason": "source_labeling_excludes_probation",
+      "ranges": [
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+          603
+        ]
+      ],
+      "evidence": "source-mappings.json"
+    },
+    {
+      "id": "169_Daphnet_id_1_HumanActivity_tr_9693_1st_20732",
+      "source": "Daphnet",
+      "reason": "outside_original_experiment",
+      "ranges": [
+        [
+          0,
+          16639
+        ],
+        [
+          33280,
+          38774
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+      ],
+      "evidence": "source-mappings.json"
+    }
+  ]
+}

LICENSES/MGAB-CC0.txt

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LICENSES/NAB-MIT.txt

@@ -0,0 +1,19 @@
+Copyright 2014-2024 Numenta Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

LICENSES/SMD-MIT.txt

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 NetManAIOps-SMD
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

MANIFEST.json

@@ -0,0 +1,45 @@
+{
+  "status": "public_subset_126",
+  "baseline_dataset": "MathewShen/tsb-ad-u",
+  "baseline_revision": "c6aded12d5657b96d83595500eb60c1412c8c3a2",
+  "rows": 126,
+  "sources": {
+    "CATSv2": 1,
+    "Daphnet": 1,
+    "LTDB": 8,
+    "MGAB": 8,
+    "MITDB": 7,
+    "NAB": 23,
+    "OPPORTUNITY": 27,
+    "SMD": 33,
+    "SVDB": 18
+  },
+  "columns": [
+    "id",
+    "source",
+    "values",
+    "labels",
+    "train_end",
+    "original_sha256",
+    "labels_corrected"
+  ],
+  "files": {
+    "data/test.parquet": {
+      "sha256": "dacc0bd31bc8a30bc0569c5b82e3bd74ce5cf2724d69b8ff3c92fe968fb20276",
+      "rows": 126,
+      "points": 10691121,
+      "train_unknown": 21633,
+      "test_unknown": 12440
+    }
+  },
+  "catsv2_verification": {
+    "source_file_sha256": "259b5849a134e3318ed5e683bca0582d8c1005d1a008bb86094c8131ca1b2ff3",
+    "source_column": "bso2",
+    "source_half_open_range": [
+      4300000,
+      4600000
+    ],
+    "max_absolute_observation_difference": 7.105427357601002e-15,
+    "original_labels_match_source_y": true
+  }
+}

README.md

@@ -0,0 +1,70 @@
+---
+pretty_name: Open-UTS (126 Univariate Time Series)
+language:
+- zxx
+license: other
+tags:
+- time-series
+- anomaly-detection
+- tsb-ad
+---
+
+# Open-UTS: 126 Univariate Time Series
+
+Open-UTS contains **126 complete univariate time series from nine original datasets**. All 126 are from the Eval 350 collection of the pinned, private [TSB-AD-U baseline](https://huggingface.co/datasets/MathewShen/tsb-ad-u), revision `c6aded12d5657b96d83595500eb60c1412c8c3a2`. It is an unofficial redistribution of selected [TSB-AD](https://github.com/TheDatumOrg/TSB-AD) series, not a new blind benchmark. The other 696 series from the 822-series baseline are not in this release.
+
+The data have **mixed licenses**, not a single license granted by this repository. Read [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) before reuse; the original source licenses and attribution requirements still apply. The selection excludes GPL, noncommercial, permission-dependent, and insufficiently documented sources from this particular release.
+
+## Data and labels
+
+`data/test.parquet` contains one complete sequence per row, with 10,691,121 observations in total. The Hub split is named `test` for benchmark evaluation; each row also includes its training prefix.
+
+| Column | Type | Meaning |
+| --- | --- | --- |
+| `id` | string | Pinned TSB-AD-U series ID |
+| `source` | string | Original dataset name; reporting metadata only |
+| `values` | list<float64> | Complete observations in original sampling order |
+| `labels` | list<bool> | Unchanged labels from the pinned baseline |
+| `train_end` | int64 | Exclusive end of the training prefix |
+| `original_sha256` | string | SHA-256 of the retained TSB-AD source CSV |
+| `labels_corrected` | list<bool or null> | Original labels with demonstrably unlabeled positions restored to null |
+
+In the public subset, 22 NAB series have an unlabeled initialization region in the training prefix, and the Daphnet series has positions outside the annotated experiment. Those positions are `null` in `labels_corrected`, not negative examples. This accounts for 21,633 unknown training points and 12,440 unknown evaluation points. The exact zero-based, half-open intervals and reasons are in [CORRECTIONS.json](CORRECTIONS.json); the relevant original-file and offset evidence is in [source-mappings.json](source-mappings.json). Other labels remain unchanged; unchanged does **not** imply every point was independently verified. The original `labels` column is untouched.
+
+No `labels_annotated` column is released here. The current model-assisted annotation candidates lack human review and should not be presented as supervised ground truth. An evaluation using `labels_corrected` needs a specified null-aware metric protocol: filling null with zero or deleting it and joining the timeline would change the task.
+
+The observations, original labels, row IDs, train boundaries, and CSV hashes were checked against the pinned baseline before export. [MANIFEST.json](MANIFEST.json) records the exported file checksum and CATSv2 source alignment. Run `uv run --with pyarrow python verify.py` to check the distributed file, schema, row counts, sources, and nullable-label invariants.
+
+Example usage after publication:
+
+```python
+from datasets import load_dataset
+
+rows = load_dataset("MathewShen/open-uts", split="test", revision="PINNED_COMMIT")
+row = rows[0]
+train_values = row["values"][:row["train_end"]]
+test_values = row["values"][row["train_end"]:]
+test_labels = row["labels_corrected"][row["train_end"]:]
+```
+
+The source name and ID must not drive anomaly-detector candidate generation, routing, or hyperparameters. Keep evaluation labels out of model fitting and selection. All 126 sequences have been exposed to development work; this is not an untouched test set.
+
+## Source distribution
+
+| Source | Series | License |
+| --- | ---: | --- |
+| CATSv2 | 1 | CC BY 4.0 |
+| Daphnet | 1 | CC BY 4.0 |
+| LTDB | 8 | ODC-By 1.0 |
+| MGAB | 8 | CC0 1.0 |
+| MITDB | 7 | ODC-By 1.0 |
+| NAB | 23 | MIT |
+| OPPORTUNITY | 27 | CC BY 4.0 |
+| SMD | 33 | MIT |
+| SVDB | 18 | ODC-By 1.0 |
+
+The original values and labels of the CATSv2 row were independently matched to `bso2[4,300,000:4,600,000]` and `y[4,300,000:4,600,000]` in [Zenodo 8338435](https://doi.org/10.5281/zenodo.8338435). The maximal observation difference is `7.11e-15`; all 300,000 original labels match the source's `y` column. See [MANIFEST.json](MANIFEST.json) for the source-file checksum.
+
+## Status and provenance
+
+The original and corrected labels come from a broader, still ongoing source audit. The corrections in this subset are limited to NAB and Daphnet. This subset does not certify the excluded sources or finish the requested human annotations.

THIRD_PARTY_NOTICES.md

@@ -0,0 +1,17 @@
+# Source licenses and attribution
+
+This package is a transformed subset of nine datasets assembled through TSB-AD/TSB-AD-U. **No single blanket license covers the underlying observations and labels.** The `license: other` Hub metadata reflects the mixed source terms. The transformations here consist of selecting and cropping univariate sequences, converting them to row-based Parquet, retaining the original labels, and adding `labels_corrected` where the source evidence identifies unannotated positions. The original creators have not endorsed this package.
+
+| Source | Credit and source | License and notice |
+| --- | --- | --- |
+| NAB | Numenta, [NAB at pinned revision](https://github.com/numenta/NAB/tree/ea702d75cc2258d9d7dd35ca8e5e2539d71f3140) | MIT; retain [Numenta's full license and copyright](LICENSES/NAB-MIT.txt). The NAB initialization region was changed to null in `labels_corrected` where applicable. |
+| MGAB | Markus Thill, [MGAB at pinned revision](https://github.com/MarkusThill/MGAB/tree/acb4b816216c99cdb3721be620459a8a510c2640) | [CC0 1.0](LICENSES/MGAB-CC0.txt); source credit is retained for traceability. |
+| SMD | NetManAIOps-SMD, [ServerMachineDataset at pinned revision](https://github.com/NetManAIOps/OmniAnomaly/tree/7fb0e0acf89ea49908896bcc9f9e80fcfff6baf4/ServerMachineDataset) | MIT; retain [its dataset-specific full license and copyright](LICENSES/SMD-MIT.txt). |
+| Daphnet | Daniel Roggen, Meir Plotnik, Jeff Hausdorff, [UCI Daphnet Freezing of Gait](https://archive.ics.uci.edu/dataset/245/daphnet+freezing+of+gait), [DOI 10.24432/C56K78](https://doi.org/10.24432/C56K78) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Experimental-outside points were restored to null in `labels_corrected`. |
+| OPPORTUNITY | Daniel Roggen, Alberto Calatroni, Long-Van Nguyen-Dinh, Ricardo Chavarriaga, Hesam Sagha, [UCI OPPORTUNITY](https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition), [DOI 10.24432/C5M027](https://doi.org/10.24432/C5M027) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
+| CATSv2 | Patrick Fleith / Solenix Engineering GmbH, [Controlled Anomalies Time Series (CATS) Dataset](https://doi.org/10.5281/zenodo.8338435) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). `bso2[4,300,000:4,600,000]` was selected; original event labels match Zenodo's `y`. |
+| MITDB | [MIT-BIH Arrhythmia Database v1.0.0](https://physionet.org/content/mitdb/1.0.0/), [DOI 10.13026/C2F305](https://doi.org/10.13026/C2F305), PhysioNet | [ODC-By 1.0](https://opendatacommons.org/licenses/by/1-0/); retain database source, license, and attribution. |
+| SVDB | [MIT-BIH Supraventricular Arrhythmia Database v1.0.0](https://physionet.org/content/svdb/1.0.0/), [DOI 10.13026/C2V30W](https://doi.org/10.13026/C2V30W), PhysioNet | [ODC-By 1.0](https://opendatacommons.org/licenses/by/1-0/); retain database source, license, and attribution. |
+| LTDB | [Long-Term ST Database v1.0.0](https://physionet.org/content/ltdb/1.0.0/), [DOI 10.13026/C2KS3F](https://doi.org/10.13026/C2KS3F), PhysioNet | [ODC-By 1.0](https://opendatacommons.org/licenses/by/1-0/); retain database source, license, and attribution. |
+
+For the three PhysioNet datasets, also credit [PhysioNet](https://physionet.org/about/database/) and follow each source page's recommended citation. The ODC-By license applies to their database files, according to each versioned PhysioNet record. Rights in a constituent source are not replaced by the license of an aggregator or this package.

data/test.parquet

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+size 22881277

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verify.py

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+"""Check the public package's content and integrity: uv run --with pyarrow python verify.py."""
+
+import hashlib
+import json
+from collections import Counter
+from pathlib import Path
+
+import pyarrow.parquet as pq
+
+
+def main():
+    root = Path(__file__).resolve().parent
+    manifest = json.loads((root / "MANIFEST.json").read_text())
+    assert manifest["rows"] == 126
+    assert manifest["columns"] == [
+        "id",
+        "source",
+        "values",
+        "labels",
+        "train_end",
+        "original_sha256",
+        "labels_corrected",
+    ]
+    corrections = json.loads((root / "CORRECTIONS.json").read_text())
+    changes = {row["id"]: row for row in corrections["changes"]}
+    assert len(changes) == 23
+    mappings = json.loads((root / "source-mappings.json").read_text())
+    assert len(mappings) == 24 and set(changes) <= {row["id"] for row in mappings}
+    counts, seen = Counter(), set()
+    for name, info in manifest["files"].items():
+        path = root / name
+        with path.open("rb") as stream:
+            assert hashlib.file_digest(stream, "sha256").hexdigest() == info["sha256"]
+        table = pq.read_table(path)
+        assert table.column_names == manifest["columns"]
+        assert table.num_rows == info["rows"]
+        points = train_unknown = test_unknown = 0
+        for row in table.to_pylist():
+            ident = row["id"]
+            assert ident not in seen
+            seen.add(ident)
+            counts[row["source"]] += 1
+            values, labels, corrected = (
+                row["values"],
+                row["labels"],
+                row["labels_corrected"],
+            )
+            end = row["train_end"]
+            assert 0 < end < len(values) == len(labels) == len(corrected)
+            expected = labels.copy()
+            if ident in changes:
+                assert changes[ident]["source"] == row["source"]
+                for start, stop in changes[ident]["ranges"]:
+                    assert 0 <= start < stop <= len(labels)
+                    expected[start:stop] = [None] * (stop - start)
+            assert corrected == expected
+            points += len(values)
+            train_unknown += sum(y is None for y in corrected[:end])
+            test_unknown += sum(y is None for y in corrected[end:])
+        assert (points, train_unknown, test_unknown) == (
+            info["points"],
+            info["train_unknown"],
+            info["test_unknown"],
+        )
+    assert len(seen) == 126 and set(changes) <= seen
+    assert dict(sorted(counts.items())) == manifest["sources"]
+    print(f"Verified {len(seen)} series from {len(counts)} sources")
+
+
+if __name__ == "__main__":
+    main()