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=2048)

README.md

@@ -0,0 +1,24 @@
+---
+dataset_info:
+  config_name: modernbert-embed-base
+  features:
+  - name: text
+    dtype: string
+  - name: url
+    dtype: string
+  - name: token_count
+    dtype: int64
+  - name: cluster_id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 258845659
+    num_examples: 60000
+  download_size: 138945901
+  dataset_size: 258845659
+configs:
+- config_name: modernbert-embed-base
+  data_files:
+  - split: train
+    path: modernbert-embed-base/train-*
+---

modernbert-embed-base/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c77f66faa2b0bcfa6f7ad2427b778c8d47079eedd118214d35756d1565d17b8
+size 138945901