cagasoluh/MYRA
Unconditional Image Generation • Updated
idx int64 0 10k | neighbors_id sequencelengths 1k 1k | neighbors_distance sequencelengths 1k 1k | metric stringclasses 1
value | query_expr null | pk_field_name stringclasses 1
value | vector_field_name stringclasses 1
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|---|---|---|---|---|---|---|---|
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8 | [36909,42558,2030,43083,13609,37675,34706,41586,47631,10677,28869,4386,42565,11076,10798,54167,3095,(...TRUNCATED) | [504.13092041015625,704.4196166992188,715.6472778320312,717.067626953125,726.6918334960938,735.70715(...TRUNCATED) | l2 | null | idx | emb | 1,000 |
9 | [19782,10342,29714,20828,30704,14724,35814,22541,39971,14565,7185,58287,29495,1138,44344,10529,10479(...TRUNCATED) | [750.7236328125,772.4998168945312,775.6990356445312,781.1350708007812,811.299560546875,823.321899414(...TRUNCATED) | l2 | null | idx | emb | 1,000 |
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Dataset Overview
dataset: fashion-mnist-784-euclidean
Metadata
- Creation Time: 2025-01-07 11:02:55+0000
- Update Time: 2025-01-07 11:03:01+0000
- Source: https://github.com/erikbern/ann-benchmarks
- Task: N/A
- Train Samples: N/A
- Test Samples: N/A
- License: DISCLAIMER AND LICENSE NOTICE:
- This dataset is intended for benchmarking and research purposes only.
- The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the original data sources.
- The ground truth part of the dataset (including but not limited to annotations, labels, and evaluation metrics) is licensed under Apache 2.0.
- This dataset is provided 'AS IS' without any warranty. The dataset maintainers are not responsible for any copyright violations arising from the use of the source data.
- If you are the copyright holder of any source data and believe it has been included inappropriately, please contact us for prompt removal.
- Commercial use of this dataset must ensure compliance with the original data sources' licenses and obtain necessary permissions where required.
Dataset Statistics
| Split | Name | Size | Num Rows | Num Columns | Schema | Num Files |
|---|---|---|---|---|---|---|
| train | fashion-mnist-784-euclidean | 29.228 MB | 60000 | 2 | { "idx": "int64", "emb": "list<element: float>" } |
1 |
| test | fashion-mnist-784-euclidean | 4.888 MB | 10000 | 2 | { "idx": "int64", "emb": "list<element: float>" } |
1 |
| neighbors | fashion-mnist-784-euclidean | 72.713 MB | 10000 | 8 | { "idx": "int64", "neighbors_id": "list<element: int64>", "neighbors_distance": "list<element: double>", "metric": "string", "query_expr": "null", "pk_field_name": "string", "vector_field_name": "string", "top_k": "int64" } |
1 |
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