Convert dataset to Parquet (#7)

- Convert dataset to Parquet (7f72211d9a9c8b868de824adf6d66707b9efd132)
- Add 'question-answer' config data files (1a7d487cb5dcf3272f71ab124b97a731c4e5375a)
- Add 'database' config data files (ba4b3a072dfd25f891aa437cf7780c5541c17991)
- Delete loading script (89c707a88f8ebf0a67e30c254bb1523d7da56a2b)
- Delete data files (cb3058460ca4cb9766f7fde5e13d61f09e30a5f5)

README.md

@@ -6,6 +6,550 @@ language:
 - en
 size_categories:
 - 1M<n<10M
+dataset_info:
+- config_name: database
+  features:
+  - name: content
+    dtype: string
+  splits:
+  - name: depth_20_size_25_seed_1
+    num_bytes: 16053
+    num_examples: 1
+  - name: depth_20_size_25_seed_2
+    num_bytes: 16117
+    num_examples: 1
+  - name: depth_20_size_25_seed_3
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+    num_examples: 1
+  - name: depth_20_size_50_seed_1
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+    num_examples: 1
+  - name: depth_20_size_50_seed_2
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+    num_examples: 1
+  - name: depth_20_size_50_seed_3
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+    num_examples: 1
+  - name: depth_20_size_100_seed_1
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+    num_examples: 1
+  - name: depth_20_size_100_seed_2
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+    num_examples: 1
+  - name: depth_20_size_100_seed_3
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+    num_examples: 1
+  - name: depth_20_size_200_seed_1
+    num_bytes: 81118
+    num_examples: 1
+  - name: depth_20_size_200_seed_2
+    num_bytes: 81001
+    num_examples: 1
+  - name: depth_20_size_200_seed_3
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+    num_examples: 1
+  - name: depth_20_size_300_seed_1
+    num_bytes: 118709
+    num_examples: 1
+  - name: depth_20_size_300_seed_2
+    num_bytes: 117125
+    num_examples: 1
+  - name: depth_20_size_300_seed_3
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+    num_examples: 1
+  - name: depth_20_size_400_seed_1
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+    num_examples: 1
+  - name: depth_20_size_400_seed_2
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+    num_examples: 1
+  - name: depth_20_size_400_seed_3
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+    num_examples: 1
+  - name: depth_20_size_500_seed_1
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+    num_examples: 1
+  - name: depth_20_size_500_seed_2
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+    num_examples: 1
+  - name: depth_20_size_500_seed_3
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+    num_examples: 1
+  - name: depth_20_size_1000_seed_1
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+    num_examples: 1
+  - name: depth_20_size_1000_seed_2
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+    num_examples: 1
+  - name: depth_20_size_1000_seed_3
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+    num_examples: 1
+  - name: depth_20_size_2500_seed_1
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+    num_examples: 1
+  - name: depth_20_size_2500_seed_2
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+    num_examples: 1
+  - name: depth_20_size_2500_seed_3
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+    num_examples: 1
+  - name: depth_20_size_5000_seed_1
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+    num_examples: 1
+  - name: depth_20_size_5000_seed_2
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+    num_examples: 1
+  - name: depth_20_size_5000_seed_3
+    num_bytes: 1846249
+    num_examples: 1
+  - name: depth_20_size_10000_seed_1
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+    num_examples: 1
+  - name: depth_20_size_10000_seed_2
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+    num_examples: 1
+  - name: depth_20_size_10000_seed_3
+    num_bytes: 3686026
+    num_examples: 1
+  download_size: 7115174
+  dataset_size: 22380711
+- config_name: question-answer
+  features:
+  - name: id
+    dtype: string
+  - name: question
+    dtype: string
+  - name: intermediate_answers
+    dtype: string
+  - name: answer
+    sequence: string
+  - name: prolog
+    struct:
+    - name: query
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: template
+    sequence: string
+  - name: type
+    dtype: int64
+  - name: difficulty
+    dtype: int64
+  splits:
+  - name: depth_20_size_25_seed_1
+    num_bytes: 293183
+    num_examples: 500
+  - name: depth_20_size_25_seed_2
+    num_bytes: 294498
+    num_examples: 500
+  - name: depth_20_size_25_seed_3
+    num_bytes: 286264
+    num_examples: 500
+  - name: depth_20_size_50_seed_1
+    num_bytes: 299562
+    num_examples: 500
+  - name: depth_20_size_50_seed_2
+    num_bytes: 303664
+    num_examples: 500
+  - name: depth_20_size_50_seed_3
+    num_bytes: 293959
+    num_examples: 500
+  - name: depth_20_size_100_seed_1
+    num_bytes: 301175
+    num_examples: 500
+  - name: depth_20_size_100_seed_2
+    num_bytes: 309569
+    num_examples: 500
+  - name: depth_20_size_100_seed_3
+    num_bytes: 298646
+    num_examples: 500
+  - name: depth_20_size_200_seed_1
+    num_bytes: 300673
+    num_examples: 500
+  - name: depth_20_size_200_seed_2
+    num_bytes: 304991
+    num_examples: 500
+  - name: depth_20_size_200_seed_3
+    num_bytes: 297196
+    num_examples: 500
+  - name: depth_20_size_300_seed_1
+    num_bytes: 305996
+    num_examples: 500
+  - name: depth_20_size_300_seed_2
+    num_bytes: 301507
+    num_examples: 500
+  - name: depth_20_size_300_seed_3
+    num_bytes: 299086
+    num_examples: 500
+  - name: depth_20_size_400_seed_1
+    num_bytes: 307257
+    num_examples: 500
+  - name: depth_20_size_400_seed_2
+    num_bytes: 314689
+    num_examples: 500
+  - name: depth_20_size_400_seed_3
+    num_bytes: 299549
+    num_examples: 500
+  - name: depth_20_size_500_seed_1
+    num_bytes: 308562
+    num_examples: 500
+  - name: depth_20_size_500_seed_2
+    num_bytes: 322956
+    num_examples: 500
+  - name: depth_20_size_500_seed_3
+    num_bytes: 300467
+    num_examples: 500
+  - name: depth_20_size_1000_seed_1
+    num_bytes: 307844
+    num_examples: 500
+  - name: depth_20_size_1000_seed_2
+    num_bytes: 313826
+    num_examples: 500
+  - name: depth_20_size_1000_seed_3
+    num_bytes: 307334
+    num_examples: 500
+  - name: depth_20_size_2500_seed_1
+    num_bytes: 314572
+    num_examples: 500
+  - name: depth_20_size_2500_seed_2
+    num_bytes: 323000
+    num_examples: 500
+  - name: depth_20_size_2500_seed_3
+    num_bytes: 312583
+    num_examples: 500
+  - name: depth_20_size_5000_seed_1
+    num_bytes: 338703
+    num_examples: 500
+  - name: depth_20_size_5000_seed_2
+    num_bytes: 344577
+    num_examples: 500
+  - name: depth_20_size_5000_seed_3
+    num_bytes: 320320
+    num_examples: 500
+  - name: depth_20_size_10000_seed_1
+    num_bytes: 341720
+    num_examples: 500
+  - name: depth_20_size_10000_seed_2
+    num_bytes: 341562
+    num_examples: 500
+  - name: depth_20_size_10000_seed_3
+    num_bytes: 361873
+    num_examples: 500
+  download_size: 2482076
+  dataset_size: 10271363
+- config_name: text-corpus
+  features:
+  - name: title
+    dtype: string
+  - name: article
+    dtype: string
+  splits:
+  - name: depth_20_size_25_seed_1
+    num_bytes: 12734
+    num_examples: 26
+  - name: depth_20_size_25_seed_2
+    num_bytes: 12888
+    num_examples: 25
+  - name: depth_20_size_25_seed_3
+    num_bytes: 11729
+    num_examples: 25
+  - name: depth_20_size_50_seed_1
+    num_bytes: 25543
+    num_examples: 51
+  - name: depth_20_size_50_seed_2
+    num_bytes: 25910
+    num_examples: 50
+  - name: depth_20_size_50_seed_3
+    num_bytes: 25426
+    num_examples: 51
+  - name: depth_20_size_100_seed_1
+    num_bytes: 52632
+    num_examples: 101
+  - name: depth_20_size_100_seed_2
+    num_bytes: 52884
+    num_examples: 101
+  - name: depth_20_size_100_seed_3
+    num_bytes: 51329
+    num_examples: 101
+  - name: depth_20_size_200_seed_1
+    num_bytes: 105140
+    num_examples: 201
+  - name: depth_20_size_200_seed_2
+    num_bytes: 104014
+    num_examples: 203
+  - name: depth_20_size_200_seed_3
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+    num_examples: 202
+  - name: depth_20_size_300_seed_1
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+    num_examples: 302
+  - name: depth_20_size_300_seed_2
+    num_bytes: 155315
+    num_examples: 303
+  - name: depth_20_size_300_seed_3
+    num_bytes: 155195
+    num_examples: 304
+  - name: depth_20_size_400_seed_1
+    num_bytes: 208421
+    num_examples: 403
+  - name: depth_20_size_400_seed_2
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+    num_examples: 403
+  - name: depth_20_size_400_seed_3
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+    num_examples: 404
+  - name: depth_20_size_500_seed_1
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+    num_examples: 503
+  - name: depth_20_size_500_seed_2
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+    num_examples: 503
+  - name: depth_20_size_500_seed_3
+    num_bytes: 257583
+    num_examples: 504
+  - name: depth_20_size_1000_seed_1
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+    num_examples: 1007
+  - name: depth_20_size_1000_seed_2
+    num_bytes: 514399
+    num_examples: 1006
+  - name: depth_20_size_1000_seed_3
+    num_bytes: 516161
+    num_examples: 1008
+  - name: depth_20_size_2500_seed_1
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+    num_examples: 2516
+  - name: depth_20_size_2500_seed_2
+    num_bytes: 1291796
+    num_examples: 2518
+  - name: depth_20_size_2500_seed_3
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+    num_examples: 2518
+  - name: depth_20_size_5000_seed_1
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+    num_examples: 5030
+  - name: depth_20_size_5000_seed_2
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+    num_examples: 5029
+  - name: depth_20_size_5000_seed_3
+    num_bytes: 2588663
+    num_examples: 5039
+  - name: depth_20_size_10000_seed_1
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+    num_examples: 10069
+  - name: depth_20_size_10000_seed_2
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+    num_examples: 10058
+  - name: depth_20_size_10000_seed_3
+    num_bytes: 5179131
+    num_examples: 10070
+  download_size: 10322976
+  dataset_size: 31192361
+configs:
+- config_name: database
+  data_files:
+  - split: depth_20_size_25_seed_1
+    path: database/depth_20_size_25_seed_1-*
+  - split: depth_20_size_25_seed_2
+    path: database/depth_20_size_25_seed_2-*
+  - split: depth_20_size_25_seed_3
+    path: database/depth_20_size_25_seed_3-*
+  - split: depth_20_size_50_seed_1
+    path: database/depth_20_size_50_seed_1-*
+  - split: depth_20_size_50_seed_2
+    path: database/depth_20_size_50_seed_2-*
+  - split: depth_20_size_50_seed_3
+    path: database/depth_20_size_50_seed_3-*
+  - split: depth_20_size_100_seed_1
+    path: database/depth_20_size_100_seed_1-*
+  - split: depth_20_size_100_seed_2
+    path: database/depth_20_size_100_seed_2-*
+  - split: depth_20_size_100_seed_3
+    path: database/depth_20_size_100_seed_3-*
+  - split: depth_20_size_200_seed_1
+    path: database/depth_20_size_200_seed_1-*
+  - split: depth_20_size_200_seed_2
+    path: database/depth_20_size_200_seed_2-*
+  - split: depth_20_size_200_seed_3
+    path: database/depth_20_size_200_seed_3-*
+  - split: depth_20_size_300_seed_1
+    path: database/depth_20_size_300_seed_1-*
+  - split: depth_20_size_300_seed_2
+    path: database/depth_20_size_300_seed_2-*
+  - split: depth_20_size_300_seed_3
+    path: database/depth_20_size_300_seed_3-*
+  - split: depth_20_size_400_seed_1
+    path: database/depth_20_size_400_seed_1-*
+  - split: depth_20_size_400_seed_2
+    path: database/depth_20_size_400_seed_2-*
+  - split: depth_20_size_400_seed_3
+    path: database/depth_20_size_400_seed_3-*
+  - split: depth_20_size_500_seed_1
+    path: database/depth_20_size_500_seed_1-*
+  - split: depth_20_size_500_seed_2
+    path: database/depth_20_size_500_seed_2-*
+  - split: depth_20_size_500_seed_3
+    path: database/depth_20_size_500_seed_3-*
+  - split: depth_20_size_1000_seed_1
+    path: database/depth_20_size_1000_seed_1-*
+  - split: depth_20_size_1000_seed_2
+    path: database/depth_20_size_1000_seed_2-*
+  - split: depth_20_size_1000_seed_3
+    path: database/depth_20_size_1000_seed_3-*
+  - split: depth_20_size_2500_seed_1
+    path: database/depth_20_size_2500_seed_1-*
+  - split: depth_20_size_2500_seed_2
+    path: database/depth_20_size_2500_seed_2-*
+  - split: depth_20_size_2500_seed_3
+    path: database/depth_20_size_2500_seed_3-*
+  - split: depth_20_size_5000_seed_1
+    path: database/depth_20_size_5000_seed_1-*
+  - split: depth_20_size_5000_seed_2
+    path: database/depth_20_size_5000_seed_2-*
+  - split: depth_20_size_5000_seed_3
+    path: database/depth_20_size_5000_seed_3-*
+  - split: depth_20_size_10000_seed_1
+    path: database/depth_20_size_10000_seed_1-*
+  - split: depth_20_size_10000_seed_2
+    path: database/depth_20_size_10000_seed_2-*
+  - split: depth_20_size_10000_seed_3
+    path: database/depth_20_size_10000_seed_3-*
+- config_name: question-answer
+  data_files:
+  - split: depth_20_size_25_seed_1
+    path: question-answer/depth_20_size_25_seed_1-*
+  - split: depth_20_size_25_seed_2
+    path: question-answer/depth_20_size_25_seed_2-*
+  - split: depth_20_size_25_seed_3
+    path: question-answer/depth_20_size_25_seed_3-*
+  - split: depth_20_size_50_seed_1
+    path: question-answer/depth_20_size_50_seed_1-*
+  - split: depth_20_size_50_seed_2
+    path: question-answer/depth_20_size_50_seed_2-*
+  - split: depth_20_size_50_seed_3
+    path: question-answer/depth_20_size_50_seed_3-*
+  - split: depth_20_size_100_seed_1
+    path: question-answer/depth_20_size_100_seed_1-*
+  - split: depth_20_size_100_seed_2
+    path: question-answer/depth_20_size_100_seed_2-*
+  - split: depth_20_size_100_seed_3
+    path: question-answer/depth_20_size_100_seed_3-*
+  - split: depth_20_size_200_seed_1
+    path: question-answer/depth_20_size_200_seed_1-*
+  - split: depth_20_size_200_seed_2
+    path: question-answer/depth_20_size_200_seed_2-*
+  - split: depth_20_size_200_seed_3
+    path: question-answer/depth_20_size_200_seed_3-*
+  - split: depth_20_size_300_seed_1
+    path: question-answer/depth_20_size_300_seed_1-*
+  - split: depth_20_size_300_seed_2
+    path: question-answer/depth_20_size_300_seed_2-*
+  - split: depth_20_size_300_seed_3
+    path: question-answer/depth_20_size_300_seed_3-*
+  - split: depth_20_size_400_seed_1
+    path: question-answer/depth_20_size_400_seed_1-*
+  - split: depth_20_size_400_seed_2
+    path: question-answer/depth_20_size_400_seed_2-*
+  - split: depth_20_size_400_seed_3
+    path: question-answer/depth_20_size_400_seed_3-*
+  - split: depth_20_size_500_seed_1
+    path: question-answer/depth_20_size_500_seed_1-*
+  - split: depth_20_size_500_seed_2
+    path: question-answer/depth_20_size_500_seed_2-*
+  - split: depth_20_size_500_seed_3
+    path: question-answer/depth_20_size_500_seed_3-*
+  - split: depth_20_size_1000_seed_1
+    path: question-answer/depth_20_size_1000_seed_1-*
+  - split: depth_20_size_1000_seed_2
+    path: question-answer/depth_20_size_1000_seed_2-*
+  - split: depth_20_size_1000_seed_3
+    path: question-answer/depth_20_size_1000_seed_3-*
+  - split: depth_20_size_2500_seed_1
+    path: question-answer/depth_20_size_2500_seed_1-*
+  - split: depth_20_size_2500_seed_2
+    path: question-answer/depth_20_size_2500_seed_2-*
+  - split: depth_20_size_2500_seed_3
+    path: question-answer/depth_20_size_2500_seed_3-*
+  - split: depth_20_size_5000_seed_1
+    path: question-answer/depth_20_size_5000_seed_1-*
+  - split: depth_20_size_5000_seed_2
+    path: question-answer/depth_20_size_5000_seed_2-*
+  - split: depth_20_size_5000_seed_3
+    path: question-answer/depth_20_size_5000_seed_3-*
+  - split: depth_20_size_10000_seed_1
+    path: question-answer/depth_20_size_10000_seed_1-*
+  - split: depth_20_size_10000_seed_2
+    path: question-answer/depth_20_size_10000_seed_2-*
+  - split: depth_20_size_10000_seed_3
+    path: question-answer/depth_20_size_10000_seed_3-*
+- config_name: text-corpus
+  data_files:
+  - split: depth_20_size_25_seed_1
+    path: text-corpus/depth_20_size_25_seed_1-*
+  - split: depth_20_size_25_seed_2
+    path: text-corpus/depth_20_size_25_seed_2-*
+  - split: depth_20_size_25_seed_3
+    path: text-corpus/depth_20_size_25_seed_3-*
+  - split: depth_20_size_50_seed_1
+    path: text-corpus/depth_20_size_50_seed_1-*
+  - split: depth_20_size_50_seed_2
+    path: text-corpus/depth_20_size_50_seed_2-*
+  - split: depth_20_size_50_seed_3
+    path: text-corpus/depth_20_size_50_seed_3-*
+  - split: depth_20_size_100_seed_1
+    path: text-corpus/depth_20_size_100_seed_1-*
+  - split: depth_20_size_100_seed_2
+    path: text-corpus/depth_20_size_100_seed_2-*
+  - split: depth_20_size_100_seed_3
+    path: text-corpus/depth_20_size_100_seed_3-*
+  - split: depth_20_size_200_seed_1
+    path: text-corpus/depth_20_size_200_seed_1-*
+  - split: depth_20_size_200_seed_2
+    path: text-corpus/depth_20_size_200_seed_2-*
+  - split: depth_20_size_200_seed_3
+    path: text-corpus/depth_20_size_200_seed_3-*
+  - split: depth_20_size_300_seed_1
+    path: text-corpus/depth_20_size_300_seed_1-*
+  - split: depth_20_size_300_seed_2
+    path: text-corpus/depth_20_size_300_seed_2-*
+  - split: depth_20_size_300_seed_3
+    path: text-corpus/depth_20_size_300_seed_3-*
+  - split: depth_20_size_400_seed_1
+    path: text-corpus/depth_20_size_400_seed_1-*
+  - split: depth_20_size_400_seed_2
+    path: text-corpus/depth_20_size_400_seed_2-*
+  - split: depth_20_size_400_seed_3
+    path: text-corpus/depth_20_size_400_seed_3-*
+  - split: depth_20_size_500_seed_1
+    path: text-corpus/depth_20_size_500_seed_1-*
+  - split: depth_20_size_500_seed_2
+    path: text-corpus/depth_20_size_500_seed_2-*
+  - split: depth_20_size_500_seed_3
+    path: text-corpus/depth_20_size_500_seed_3-*
+  - split: depth_20_size_1000_seed_1
+    path: text-corpus/depth_20_size_1000_seed_1-*
+  - split: depth_20_size_1000_seed_2
+    path: text-corpus/depth_20_size_1000_seed_2-*
+  - split: depth_20_size_1000_seed_3
+    path: text-corpus/depth_20_size_1000_seed_3-*
+  - split: depth_20_size_2500_seed_1
+    path: text-corpus/depth_20_size_2500_seed_1-*
+  - split: depth_20_size_2500_seed_2
+    path: text-corpus/depth_20_size_2500_seed_2-*
+  - split: depth_20_size_2500_seed_3
+    path: text-corpus/depth_20_size_2500_seed_3-*
+  - split: depth_20_size_5000_seed_1
+    path: text-corpus/depth_20_size_5000_seed_1-*
+  - split: depth_20_size_5000_seed_2
+    path: text-corpus/depth_20_size_5000_seed_2-*
+  - split: depth_20_size_5000_seed_3
+    path: text-corpus/depth_20_size_5000_seed_3-*
+  - split: depth_20_size_10000_seed_1
+    path: text-corpus/depth_20_size_10000_seed_1-*
+  - split: depth_20_size_10000_seed_2
+    path: text-corpus/depth_20_size_10000_seed_2-*
+  - split: depth_20_size_10000_seed_3
+    path: text-corpus/depth_20_size_10000_seed_3-*
 ---
 
 # Dataset Card for PhantomWiki

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-Timestamp: 2025-01-27 06:29:46
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depth_20_size_10000_seed_2/run_info.txt

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depth_20_size_10000_seed_3/run_info.txt

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