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Zyphra
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Zyda-2

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yury-zyphra commited on
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723f833
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1 Parent(s): 542b219

rename

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  1. README.md +9 -9
  2. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.0.parquet +0 -0
  3. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1.parquet +0 -0
  4. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.10.parquet +0 -0
  5. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.100.parquet +0 -0
  6. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1000.parquet +0 -0
  7. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1001.parquet +0 -0
  8. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1002.parquet +0 -0
  9. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1003.parquet +0 -0
  10. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1004.parquet +0 -0
  11. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1005.parquet +0 -0
  12. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1006.parquet +0 -0
  13. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1007.parquet +0 -0
  14. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1008.parquet +0 -0
  15. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1009.parquet +0 -0
  16. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.101.parquet +0 -0
  17. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1010.parquet +0 -0
  18. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1011.parquet +0 -0
  19. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1012.parquet +0 -0
  20. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1013.parquet +0 -0
  21. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1014.parquet +0 -0
  22. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1015.parquet +0 -0
  23. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1016.parquet +0 -0
  24. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1017.parquet +0 -0
  25. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1018.parquet +0 -0
  26. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1019.parquet +0 -0
  27. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.102.parquet +0 -0
  28. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1020.parquet +0 -0
  29. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1021.parquet +0 -0
  30. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1022.parquet +0 -0
  31. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1023.parquet +0 -0
  32. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1024.parquet +0 -0
  33. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1025.parquet +0 -0
  34. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1026.parquet +0 -0
  35. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1027.parquet +0 -0
  36. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1028.parquet +0 -0
  37. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1029.parquet +0 -0
  38. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.103.parquet +0 -0
  39. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1030.parquet +0 -0
  40. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1031.parquet +0 -0
  41. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1032.parquet +0 -0
  42. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1033.parquet +0 -0
  43. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1034.parquet +0 -0
  44. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1035.parquet +0 -0
  45. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1036.parquet +0 -0
  46. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1037.parquet +0 -0
  47. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1038.parquet +0 -0
  48. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1039.parquet +0 -0
  49. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.104.parquet +0 -0
  50. data/{dclm-baseline → dclm_crossdeduped}/global-shard_01_of_10/part.1040.parquet +0 -0
README.md CHANGED
@@ -12,18 +12,18 @@ configs:
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  data_files:
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  - split: train
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  path: data/*/*/*
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- - config_name: dclm-crossdeduped
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  data_files:
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  - split: train
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- path: data/dclm-baseline/*/*
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- - config_name: zyda-crossdeduped-filtered
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  data_files:
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  - split: train
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- path: data/zyda/*/*
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- - config_name: dolma_cc-crossdeduped-filtered
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  data_files:
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  - split: train
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- path: data/dolma-cc-v1_7-deduped-filtered/*
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  - config_name: fwe3
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  data_files:
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  - split: train
@@ -59,9 +59,9 @@ To download the whole dataset we recommend to either clone the repository, or, i
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  Example command to clone the repository using huggingface-cli: `huggingface-cli download Zyphra/Zyda2-5T--repo-type dataset`
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  Commands to download individual components:
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- - DCLM: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="dclm-crossdeduped", split="train")`
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- - Zyda: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="zyda-crossdeduped-filtered", split="train")`
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- - Dolma-CC: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="dolma_cc-crossdeduped-filtered", split="train")`
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  - Fineweb-Edu: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="fwe3", split="train")`
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  In this repository we provide raw results of cross deduplication and filtering. To achieve the best possible performance, one will need to appropriate weights during training.
 
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  data_files:
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  - split: train
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  path: data/*/*/*
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+ - config_name: dclm_crossdeduped
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  data_files:
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  - split: train
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+ path: data/dclm_crossdeduped/*/*
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+ - config_name: zyda_crossdeduped-filtered
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  data_files:
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  - split: train
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+ path: data/zyda_crossdeduped-filtered /*/*
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+ - config_name: dolma-cc_crossdeduped-filtered
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  data_files:
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  - split: train
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+ path: data/dolma-cc_crossdeduped-filtered/*
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  - config_name: fwe3
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  data_files:
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  - split: train
 
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  Example command to clone the repository using huggingface-cli: `huggingface-cli download Zyphra/Zyda2-5T--repo-type dataset`
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  Commands to download individual components:
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+ - DCLM: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="dclm_crossdeduped", split="train")`
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+ - Zyda: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="zyda_crossdeduped-filtered", split="train")`
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+ - Dolma-CC: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="dolma-cc_crossdeduped-filtered", split="train")`
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  - Fineweb-Edu: `ds = datasets.load_dataset("Zyphra/Zyda2-5T", name="fwe3", split="train")`
66
 
67
  In this repository we provide raw results of cross deduplication and filtering. To achieve the best possible performance, one will need to appropriate weights during training.
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