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8 | [282309,1143087,839330,867615,402817,10347,787117,583277,379662,356535,1150962,475769,972715,1009366(...TRUNCATED) | [0.2297801375389099,0.32861077785491943,0.36337459087371826,0.4038509726524353,0.42282891273498535,0(...TRUNCATED) | cosine | null | idx | emb | 1,000 |
9 | [505602,646337,317731,797071,496427,226657,493742,575987,44935,391014,997230,58898,1148783,1025845,7(...TRUNCATED) | [0.41579729318618774,0.4451148509979248,0.44626450538635254,0.4529073238372803,0.45617014169692993,0(...TRUNCATED) | cosine | null | idx | emb | 1,000 |
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Dataset Overview
dataset: glove-100-angular
Metadata
- Creation Time: 2025-01-07 11:21:16+0000
- Update Time: 2025-01-07 11:21:31+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 | glove-100-angular | 456.526 MB | 1183514 | 2 | { "idx": "int64", "emb": "list<element: float>" } |
1 |
test | glove-100-angular | 3.711 MB | 10000 | 2 | { "idx": "int64", "emb": "list<element: float>" } |
1 |
neighbors | glove-100-angular | 98.829 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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