sample and reduce with model: fnomic-ai/modernbert-embed-base

DatasetClusterer(model_name=nomic-ai/modernbert-embed-base, batch_size=64, device=cuda, random_seed=42, precision=binary, model_max_length=1024)

README.md

@@ -1,5 +1,6 @@
 ---
 dataset_info:
+- config_name: default
   features:
   - name: text
     dtype: string
@@ -19,6 +20,22 @@ dataset_info:
     num_examples: 11490
   download_size: 836881022
   dataset_size: 1368164077
+- config_name: mini
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: id
+    dtype: string
+  - name: cluster_id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 169001211
+    num_examples: 38500
+  download_size: 103090954
+  dataset_size: 169001211
 configs:
 - config_name: default
   data_files:
@@ -28,6 +45,10 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+- config_name: mini
+  data_files:
+  - split: train
+    path: mini/train-*
 license: odc-by
 task_categories:
 - summarization

mini/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40aea09f56243c975ae0011f07a37af2f30e2917205b112d1fd29617817b677f
+size 103090954