@@ -44,22 +44,22 @@ public class AutoBenchYAML {
4444 */
4545 private static List <String > getAllDatasetNames () {
4646 List <String > allDatasets = new ArrayList <>();
47-
47+
4848 // neighborhood-watch-100k datasets
49- // allDatasets.add("ada002-100k");
50- // allDatasets.add("cohere-english-v3-100k");
51- // allDatasets.add("openai-v3-small-100k");
52- // allDatasets.add("gecko-100k");
53- // allDatasets.add("openai-v3-large-3072-100k");
54- // allDatasets.add("openai-v3-large-1536-100k");
55- // allDatasets.add("e5-small-v2-100k");
56- // allDatasets.add("e5-base-v2-100k");
57- // allDatasets.add("e5-large-v2-100k");
58- //
59- // // neighborhood-watch-1M datasets
60- // allDatasets.add("ada002-1M");
61- // allDatasets.add("colbert-1M");
62-
49+ allDatasets .add ("ada002-100k" );
50+ allDatasets .add ("cohere-english-v3-100k" );
51+ allDatasets .add ("openai-v3-small-100k" );
52+ allDatasets .add ("gecko-100k" );
53+ allDatasets .add ("openai-v3-large-3072-100k" );
54+ allDatasets .add ("openai-v3-large-1536-100k" );
55+ allDatasets .add ("e5-small-v2-100k" );
56+ allDatasets .add ("e5-base-v2-100k" );
57+ allDatasets .add ("e5-large-v2-100k" );
58+
59+ // neighborhood-watch-1M datasets
60+ allDatasets .add ("ada002-1M" );
61+ allDatasets .add ("colbert-1M" );
62+
6363 // ann-benchmarks datasets
6464 allDatasets .add ("glove-25-angular.hdf5" );
6565 allDatasets .add ("glove-50-angular.hdf5" );
@@ -71,7 +71,7 @@ private static List<String> getAllDatasetNames() {
7171 // Large files not yet supported:
7272 // allDatasets.add("deep-image-96-angular.hdf5");
7373 // allDatasets.add("gist-960-euclidean.hdf5");
74-
74+
7575 return allDatasets ;
7676 }
7777
@@ -159,4 +159,4 @@ public static void main(String[] args) throws IOException {
159159 mapper .writerWithDefaultPrettyPrinter ().writeValue (new File (outputPath ), results );
160160 System .out .println ("Benchmark results written to " + outputPath );
161161 }
162- }
162+ }
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