Super-squash branch 'main' using huggingface_hub

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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README.md

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+---
+language:
+- en
+license: odc-by
+task_categories:
+- text2text-generation
+dataset_info:
+- config_name: Commercial-Flan-Collection-SNI
+  features:
+  - name: inputs
+    dtype: string
+  - name: targets
+    dtype: string
+  - name: user_parent
+    dtype: string
+  - name: assistant_parent
+    dtype: int64
+  - name: sha256
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 831464242.212652
+    num_examples: 270970
+  download_size: 495528717
+  dataset_size: 831464242.212652
+- config_name: all
+  features:
+  - name: inputs
+    dtype: string
+  - name: targets
+    dtype: string
+  - name: sha256
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 12929219074.0
+    num_examples: 5422366
+  download_size: 7993530510
+  dataset_size: 12929219074.0
+- config_name: flan
+  features:
+  - name: inputs
+    dtype: string
+  - name: targets
+    dtype: string
+  - name: task
+    dtype: string
+  - name: sha256
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 895686276.9988031
+    num_examples: 633211
+  download_size: 552537280
+  dataset_size: 895686276.9988031
+- config_name: flan-v2
+  features:
+  - name: inputs
+    dtype: string
+  - name: targets
+    dtype: string
+  - name: task_name
+    dtype: string
+  - name: task_source
+    dtype: string
+  - name: template_type
+    dtype: string
+  - name: template_idx
+    dtype: int64
+  - name: sha256
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 11345947198.707159
+    num_examples: 4708060
+  download_size: 6892653722
+  dataset_size: 11345947198.707159
+- config_name: niv2_submix_original
+  features:
+  - name: inputs
+    dtype: string
+  - name: targets
+    dtype: string
+  - name: task_source
+    dtype: string
+  - name: task_name
+    dtype: string
+  - name: template_type
+    dtype: string
+  - name: sha256
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2259110556.8104787
+    num_examples: 849729
+  download_size: 1406102153
+  dataset_size: 2259110556.8104787
+- config_name: t0_submix_original
+  features:
+  - name: inputs
+    dtype: string
+  - name: targets
+    dtype: string
+  - name: task_source
+    dtype: string
+  - name: task_name
+    dtype: string
+  - name: template_type
+    dtype: string
+  - name: sha256
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 771692762.3727111
+    num_examples: 305764
+  download_size: 464190712
+  dataset_size: 771692762.3727111
+configs:
+- config_name: Commercial-Flan-Collection-SNI
+  data_files:
+  - split: train
+    path: Commercial-Flan-Collection-SNI/train-*
+- config_name: all
+  data_files:
+  - split: train
+    path: all/train-*
+- config_name: flan
+  data_files:
+  - split: train
+    path: flan/train-*
+- config_name: flan-v2
+  data_files:
+  - split: train
+    path: flan-v2/train-*
+- config_name: niv2_submix_original
+  data_files:
+  - split: train
+    path: niv2_submix_original/train-*
+- config_name: t0_submix_original
+  data_files:
+  - split: train
+    path: t0_submix_original/train-*
+tags:
+- flan
+---
+
+
+
+# flan subsets: deduped
+
+> [!IMPORTANT]
+> see config `all` for the aggregated & deduped dataset
+
+- all configs/subsets have columns `inputs` and `targets`
+- deduped on `inputs`
+- filtered for lang `en` if contents more than 5 chars.
+  - filter out any row with less than 1 char for either column
+- `clean-text` applied to both columns
+
+## dedup command 
+
+deduped with:
+
+```sh
+python -m text_dedup.minhash \
+  --path $ds_name \
+  --name $dataset_config \
+  --split $data_split \
+  --cache_dir "./cache" \
+  --output $out_dir \
+  --column $text_column \
+  --ngram 3 --threshold 0.6 \
+  --hash_func xxh3 --hash_bits 32 --num_perm 192 \
+  --batch_size 50000
+```

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