grade default config w classifier by chunk

BertForSequenceClassification(
(bert): BertModel(
(embeddings): BertEmbeddings(
(word_embeddings): Embedding(30522, 768, padding_idx=0)
(position_embeddings): Embedding(512, 768)
(token_type_embeddings): Embedding(2, 768)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.0, inplace=False)
)
(encoder): BertEncoder(
(layer): ModuleList(
(0-11): 12 x BertLayer(
(attention): BertAttention(
(self): BertSdpaSelfAttention(
(query): Linear(in_features=768, out_features=768, bias=True)
(key): Linear(in_features=768, out_features=768, bias=True)
(value): Linear(in_features=768, out_features=768, bias=True)
(dropout): Dropout(p=0.1, inplace=False)
)
(output): BertSelfOutput(
(dense): Linear(in_features=768, out_features=768, bias=True)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.0, inplace=False)
)
)
(intermediate): BertIntermediate(
(dense): Linear(in_features=768, out_features=3072, bias=True)
(intermediate_act_fn): GELUActivation()
)
(output): BertOutput(
(dense): Linear(in_features=3072, out_features=768, bias=True)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.0, inplace=False)
)
)
)
)
(pooler): BertPooler(
(dense): Linear(in_features=768, out_features=768, bias=True)
(activation): Tanh()
)
)
(dropout): Dropout(p=0.0, inplace=False)
(classifier): Linear(in_features=768, out_features=1, bias=True)
)

README.md

@@ -1,5 +1,11 @@
 ---
+language:
+- en
+license: odc-by
+size_categories:
+- n<1K
 dataset_info:
+- config_name: default
   features:
   - name: text
     dtype: string
@@ -9,16 +15,29 @@ dataset_info:
     num_examples: 1000
   download_size: 220792328
   dataset_size: 382489897
+- config_name: eduscore
+  features:
+  - name: text
+    dtype: string
+  - name: scores
+    sequence: float64
+  - name: int_scores
+    sequence: int64
+  splits:
+  - name: train
+    num_bytes: 385212313
+    num_examples: 1000
+  download_size: 221085149
+  dataset_size: 385212313
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
-license: odc-by
-language:
-- en
-size_categories:
-- n<1K
+- config_name: eduscore
+  data_files:
+  - split: train
+    path: eduscore/train-*
 ---
 
 # BEE-spoke-data/fineweb-1000_64k

eduscore/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff4d49acf3b6ba4444825e2e7d1905ed0d1876ea7cd8d2ea406e901436af1090
+size 221085149