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README.md

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+---
+configs:
+  - config_name: train
+    data_files:
+      - split: train
+        path: train/*
+  - config_name: test
+    data_files:
+      - split: test
+        path: test/*
+  - config_name: neighbors
+    data_files:
+      - split: neighbors
+        path: neighbors/*
+---
+
+# Dataset Overview
+
+dataset: sift-128-euclidean
+
+## Metadata
+
+
+- **Creation Time**: 2025-01-07 11:37:52+0000
+- **Update Time**: 2025-01-07 11:38:07+0000
+- **Source**: https://github.com/erikbern/ann-benchmarks
+- **Task**: N/A
+- **Train Samples**: N/A
+- **Test Samples**: N/A
+- **License**: DISCLAIMER AND LICENSE NOTICE:
+1. This dataset is intended for benchmarking and research purposes only.
+2. 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.
+3. The ground truth part of the dataset (including but not limited to annotations, labels, and evaluation metrics) is licensed under Apache 2.0.
+4. 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.
+5. If you are the copyright holder of any source data and believe it has been included inappropriately, please contact us for prompt removal.
+6. 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 | sift-128-euclidean | 122.057 MB | 1000000 | 2 | {<br>  "idx": "int64",<br>  "emb": "list<element: float>"<br>} | 1 |
+| test | sift-128-euclidean | 1.240 MB | 10000 | 2 | {<br>  "idx": "int64",<br>  "emb": "list<element: float>"<br>} | 1 |
+| neighbors | sift-128-euclidean | 87.858 MB | 10000 | 8 | {<br>  "idx": "int64",<br>  "neighbors_id": "list<element: int64>",<br>  "neighbors_distance": "list<element: double>",<br>  "metric": "string",<br>  "query_expr": "null",<br>  "pk_field_name": "string",<br>  "vector_field_name": "string",<br>  "top_k": "int64"<br>} | 1 |

metadata.json

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+{
+  "name": "sift-128-euclidean",
+  "created_at": "2025-01-07 11:37:52+0000",
+  "updated_at": "2025-01-07 11:38:07+0000",
+  "train": 0,
+  "test": 0,
+  "source": "https://github.com/erikbern/ann-benchmarks",
+  "task": null,
+  "dense_model": null,
+  "sparse_model": null,
+  "license": "DISCLAIMER AND LICENSE NOTICE:\n1. This dataset is intended for benchmarking and research purposes only.\n2. 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.\n3. The ground truth part of the dataset (including but not limited to annotations, labels, and evaluation metrics) is licensed under Apache 2.0.\n4. 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.\n5. If you are the copyright holder of any source data and believe it has been included inappropriately, please contact us for prompt removal.\n6. Commercial use of this dataset must ensure compliance with the original data sources' licenses and obtain necessary permissions where required."
+}

neighbors/neighbors-vector-emb-pk-idx-expr-None-metric-l2.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2cfaf349c344ef350cded63b390a349acbb4f3a3b040ce162062a5d557eb1f16
+size 92126059

schema.json

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+{
+  "auto_id": false,
+  "description": "sift-128-euclidean",
+  "fields": [
+    {
+      "name": "idx",
+      "description": "",
+      "type": 5,
+      "is_primary": true,
+      "auto_id": false
+    },
+    {
+      "name": "emb",
+      "description": "",
+      "type": 101,
+      "params": {
+        "dim": 128
+      }
+    }
+  ],
+  "enable_dynamic_field": false
+}

summary.json

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+{
+  "train": {
+    "name": "sift-128-euclidean",
+    "size": "122.057 MB",
+    "num_rows": 1000000,
+    "num_columns": 2,
+    "schema": {
+      "idx": "int64",
+      "emb": "list<element: float>"
+    },
+    "num_files": 1
+  },
+  "test": {
+    "name": "sift-128-euclidean",
+    "size": "1.240 MB",
+    "num_rows": 10000,
+    "num_columns": 2,
+    "schema": {
+      "idx": "int64",
+      "emb": "list<element: float>"
+    },
+    "num_files": 1
+  },
+  "neighbors": {
+    "name": "sift-128-euclidean",
+    "size": "87.858 MB",
+    "num_rows": 10000,
+    "num_columns": 8,
+    "schema": {
+      "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"
+    },
+    "num_files": 1
+  }
+}

test/test-00001-of-00001.parquet

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+oid sha256:51d7f320eb8a47ab27fc63613266d1f6e5967eb76884b74456f949a2f2a46489
+size 1300396

train/train-00001-of-00001.parquet

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+size 127985835