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peacock-data-public-datasets-sangraha

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applied-ai-018 commited on
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verified ·
1 Parent(s): 0570ec1

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  1. convert.py +62 -0
  2. convert.sh +6 -0
  3. debug.err +0 -0
  4. download.py +12 -0
  5. download.sh +5 -0
  6. verified/dataset_dict.json +1 -0
  7. verified/train/data-00000-of-00197.arrow +3 -0
  8. verified/train/data-00001-of-00197.arrow +3 -0
  9. verified/train/data-00002-of-00197.arrow +3 -0
  10. verified/train/data-00003-of-00197.arrow +3 -0
  11. verified/train/data-00004-of-00197.arrow +3 -0
  12. verified/train/data-00006-of-00197.arrow +3 -0
  13. verified/train/data-00008-of-00197.arrow +3 -0
  14. verified/train/data-00009-of-00197.arrow +3 -0
  15. verified/train/data-00010-of-00197.arrow +3 -0
  16. verified/train/data-00011-of-00197.arrow +3 -0
  17. verified/train/data-00012-of-00197.arrow +3 -0
  18. verified/train/data-00013-of-00197.arrow +3 -0
  19. verified/train/data-00015-of-00197.arrow +3 -0
  20. verified/train/data-00018-of-00197.arrow +3 -0
  21. verified/train/data-00019-of-00197.arrow +3 -0
  22. verified/train/data-00020-of-00197.arrow +3 -0
  23. verified/train/data-00021-of-00197.arrow +3 -0
  24. verified/train/data-00022-of-00197.arrow +3 -0
  25. verified/train/data-00024-of-00197.arrow +3 -0
  26. verified/train/data-00026-of-00197.arrow +3 -0
  27. verified/train/data-00027-of-00197.arrow +3 -0
  28. verified/train/data-00028-of-00197.arrow +3 -0
  29. verified/train/data-00030-of-00197.arrow +3 -0
  30. verified/train/data-00032-of-00197.arrow +3 -0
  31. verified/train/data-00033-of-00197.arrow +3 -0
  32. verified/train/data-00034-of-00197.arrow +3 -0
  33. verified/train/data-00036-of-00197.arrow +3 -0
  34. verified/train/data-00037-of-00197.arrow +3 -0
  35. verified/train/data-00038-of-00197.arrow +3 -0
  36. verified/train/data-00040-of-00197.arrow +3 -0
  37. verified/train/data-00041-of-00197.arrow +3 -0
  38. verified/train/data-00042-of-00197.arrow +3 -0
  39. verified/train/data-00043-of-00197.arrow +3 -0
  40. verified/train/data-00044-of-00197.arrow +3 -0
  41. verified/train/data-00045-of-00197.arrow +3 -0
  42. verified/train/data-00046-of-00197.arrow +3 -0
  43. verified/train/data-00047-of-00197.arrow +3 -0
  44. verified/train/data-00048-of-00197.arrow +3 -0
  45. verified/train/data-00049-of-00197.arrow +3 -0
  46. verified/train/data-00050-of-00197.arrow +3 -0
  47. verified/train/data-00051-of-00197.arrow +3 -0
  48. verified/train/data-00052-of-00197.arrow +3 -0
  49. verified/train/data-00053-of-00197.arrow +3 -0
  50. verified/train/data-00054-of-00197.arrow +3 -0
convert.py ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ #import datasets
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+ #from datasets import load_from_disk
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+ #
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+ #data_path="./verified/train"
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+ #dataset = load_from_disk(data_path)
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+ #for split, split_dataset in dataset.items():
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+ # split_dataset.to_json(f"squad-{split}.jsonl")
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+
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+ import pyarrow as pa
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+ import pyarrow.parquet as pq
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+ import pandas as pd
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+ import json
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+ import sys
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+ import os
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+
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+ def arrow_to_json(arrow_file_path, json_file_path):
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+ # Read the Arrow file into a Table
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+ print(arrow_file_path, json_file_path)
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+ table = pa.ipc.open_file(arrow_file_path).read_all()
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+
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+ # Convert Table to a Pandas DataFrame
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+ df = table.to_pandas()
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+
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+ # Convert DataFrame to JSON format
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+ json_data = df.to_json(orient='records')
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+
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+ # Write JSON data to a file
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+ with open(json_file_path, 'w') as json_file:
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+ json_file.write(json_data)
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+
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+ print(f"Converted '{arrow_file_path}' to '{json_file_path}' successfully.")
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+
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+ def get_files_with_extension(directory, extension):
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+ # Ensure the extension starts with a dot
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+ if not extension.startswith('.'):
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+ extension = '.' + extension
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+
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+ # List all files in the directory
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+ all_files = os.listdir(directory)
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+
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+ # Filter files with the given extension
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+ filtered_files = [f for f in all_files if f.endswith(extension)]
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+
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+ return filtered_files
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+
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+
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+ arrow_file_dir = "./verified/train/"
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+ extension = ".arrow"
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+ arrow_files = get_files_with_extension(arrow_file_dir , extension)
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+ json_dir = "./verified/json/"
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+ os.mkdir(json_dir)
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+ for f in arrow_files:
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+ arrow_to_json(arrow_file_dir + f, json_dir + f + ".json")
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+ # arrow_to_json(f , json_dir)
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+ #if __name__ == "__main__":
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+ # if len(sys.argv) != 3:
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+ # print("Usage: python script.py <input.arrow> <output.json>")
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+ # else:
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+ # arrow_file_path = sys.argv[1]
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+ # json_file_path = sys.argv[2]
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+ # arrow_to_json(arrow_file_path, json_file_path)
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+
convert.sh ADDED
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+ #!/bin/bash
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+
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+ set -x
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+ cd /mnt/weka/peacock/peacock-data/sangraha
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+ rm -rf verified/json
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+ python3 convert.py 2> debug.err
debug.err ADDED
The diff for this file is too large to render. See raw diff
 
download.py ADDED
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+ from datasets import load_dataset
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+
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+ dataset_ver = load_dataset("ai4bharat/sangraha", data_dir = 'verified/hin')
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+
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+ for split, split_dataset in dataset_ver.items():
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+ split_dataset.to_json(f"/mnt/weka/peacock/peacock-data/sangraha/verified/ver-{split}.jsonl")
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+ dataset_ver.save_to_disk("/mnt/weka/peacock/peacock-data/sangraha/verified")
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+
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+ dataset_unver = load_dataset("ai4bharat/sangraha", data_dir = 'unverified/hin')
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+ dataset_unver.save_to_disk("/mnt/weka/peacock/peacock-data/sangraha/unverified")
11
+ for split, split_dataset in dataset_unver.items():
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+ split_dataset.to_json(f"/mnt/weka/peacock/peacock-data/sangraha/unverified/unver-{split}.jsonl")
download.sh ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ #!/bin/bash
2
+
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+ set -x
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+ cd /mnt/weka/peacock/peacock-data/sangraha
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+ python3 download.py 2> debug.err
verified/dataset_dict.json ADDED
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+ {"splits": ["train"]}
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