Duplicate from mlabonne/FineTome-100k

Co-authored-by: Maxime Labonne <mlabonne@users.noreply.huggingface.co>

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README.md

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+---
+dataset_info:
+  features:
+  - name: conversations
+    list:
+    - name: from
+      dtype: string
+    - name: value
+      dtype: string
+  - name: source
+    dtype: string
+  - name: score
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 239650960.7474458
+    num_examples: 100000
+  download_size: 116531415
+  dataset_size: 239650960.7474458
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# FineTome-100k
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/75I3ffI4XnRlheOQ7kNJ3.jpeg)
+
+The FineTome dataset is a subset of [arcee-ai/The-Tome](https://huggingface.co/datasets/arcee-ai/The-Tome) (without arcee-ai/qwen2-72b-magpie-en), re-filtered using [HuggingFaceFW/fineweb-edu-classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier).
+
+It was made for my article ["Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth"](https://huggingface.co/blog/mlabonne/sft-llama3).

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