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README.md

@@ -1,32 +1,12 @@
----
-dataset_info:
-  features:
-  - name: prompt
-    dtype: string
-  - name: prompt_id
-    dtype: string
-  - name: messages
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  - name: category
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 16495130.48768421
-    num_examples: 9499
-  - name: test
-    num_bytes: 887460.0
-    num_examples: 500
-  download_size: 11065796
-  dataset_size: 17382590.487684213
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
----
+This is a converted version of the no_robots dataset into Tulu SFT training format.
+
+The conversion script can be found in our [open-instruct](https://github.com/allenai/open-instruct/blob/main/scripts/data/sft/no_robots.py) repo.
+The conversion took the following parameters:
+- apply_keyword_filters: False
+- apply_empty_message_filters: True
+- push_to_hub: True
+- hf_entity: ai2-adapt-dev
+- converted_dataset_name: no_robots_converted
+- local_save_dir: ./data/sft/no_robots
+
+Please refer to the [original dataset](https://huggingface.co/datasets/HuggingFaceH4/no_robots) for more information about this dataset and the license.