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Maimemo
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maimemo-algorithm-experiment-01

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'first_response_time_inday', 'repeat_long', 'card_id', 'first_response_inday', 'study_duration_total_inday', 'recall_duration_total_inday'}) and 43 missing columns ({'acc_total_time', 'learn_rsp1_time', 'learn_rsp4_rate', 'acc_review_time', 'learn_rsp1_cnt', 'learn_cnt', 'review_rsp1_rate', 'recall', 'learn_rsp3_cnt', 'learn_rsp3_time', 'acc_learn_cnt', 'review_rsp3_cnt', 'learn_rsp1_rate', 'acc_total_cnt', 'review_rsp3_time', 'learn_rsp3_rate', 'learn_rsp2_rate', 'review_time', 'review_rsp2_time', 'learn_repeat', 'acknowledge', 'acc_learn_repeat', 'review_rsp2_rate', 'learn_rsp4_cnt', 'total_time', 'learn_rsp2_cnt', 'acc_learn_time', 'review_repeat', 'review_cnt', 'acc_review_cnt', 'total_repeat', 'review_rsp2_cnt', 'review_rsp1_time', 'review_rsp3_rate', 'review_rsp4_rate', 'total_cnt', 'learn_rsp2_time', 'acc_review_repeat', 'learn_rate', 'learn_time', 'acc_total_repeat', 'review_rsp1_cnt', 'review_rsp4_cnt'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Maimemo/maimemo-algorithm-experiment-01/2025-09/maimemo_flashcard_abtest_fsr_anonymized.tsv (at revision 6f1f185fd5f7d78d29a474417735ff3a273456aa)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              user_id: string
              card_id: string
              ab_group: string
              reg_date: string
              study_date: string
              reg_day: int64
              repeat_long: int64
              first_response_inday: int64
              first_response_time_inday: string
              recall_duration_total_inday: int64
              study_duration_total_inday: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1660
              to
              {'ab_group': Value('string'), 'user_id': Value('string'), 'reg_day': Value('int64'), 'reg_date': Value('string'), 'study_date': Value('string'), 'learn_cnt': Value('float64'), 'review_cnt': Value('float64'), 'total_cnt': Value('float64'), 'learn_rate': Value('float64'), 'learn_repeat': Value('float64'), 'review_repeat': Value('float64'), 'total_repeat': Value('float64'), 'learn_time': Value('float64'), 'review_time': Value('float64'), 'total_time': Value('float64'), 'acknowledge': Value('float64'), 'recall': Value('float64'), 'acc_learn_cnt': Value('float64'), 'acc_review_cnt': Value('float64'), 'acc_total_cnt': Value('float64'), 'acc_learn_repeat': Value('float64'), 'acc_review_repeat': Value('float64'), 'acc_total_repeat': Value('float64'), 'acc_learn_time': Value('float64'), 'acc_review_time': Value('float64'), 'acc_total_time': Value('float64'), 'review_rsp1_rate': Value('float64'), 'review_rsp2_rate': Value('float64'), 'review_rsp3_rate': Value('float64'), 'review_rsp4_rate': Value('float64'), 'learn_rsp1_rate': Value('float64'), 'learn_rsp2_rate': Value('float64'), 'learn_rsp3_rate': Value('float64'), 'learn_rsp4_rate': Value('float64'), 'review_rsp1_time': Value('float64'), 'review_rsp2_time': Value('float64'), 'review_rsp3_time': Value('float64'), 'learn_rsp1_time': Value('float64'), 'learn_rsp2_time': Value('float64'), 'learn_rsp3_time': Value('float64'), 'review_rsp1_cnt': Value('float64'), 'review_rsp2_cnt': Value('float64'), 'review_rsp3_cnt': Value('float64'), 'review_rsp4_cnt': Value('float64'), 'learn_rsp1_cnt': Value('float64'), 'learn_rsp2_cnt': Value('float64'), 'learn_rsp3_cnt': Value('float64'), 'learn_rsp4_cnt': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'first_response_time_inday', 'repeat_long', 'card_id', 'first_response_inday', 'study_duration_total_inday', 'recall_duration_total_inday'}) and 43 missing columns ({'acc_total_time', 'learn_rsp1_time', 'learn_rsp4_rate', 'acc_review_time', 'learn_rsp1_cnt', 'learn_cnt', 'review_rsp1_rate', 'recall', 'learn_rsp3_cnt', 'learn_rsp3_time', 'acc_learn_cnt', 'review_rsp3_cnt', 'learn_rsp1_rate', 'acc_total_cnt', 'review_rsp3_time', 'learn_rsp3_rate', 'learn_rsp2_rate', 'review_time', 'review_rsp2_time', 'learn_repeat', 'acknowledge', 'acc_learn_repeat', 'review_rsp2_rate', 'learn_rsp4_cnt', 'total_time', 'learn_rsp2_cnt', 'acc_learn_time', 'review_repeat', 'review_cnt', 'acc_review_cnt', 'total_repeat', 'review_rsp2_cnt', 'review_rsp1_time', 'review_rsp3_rate', 'review_rsp4_rate', 'total_cnt', 'learn_rsp2_time', 'acc_review_repeat', 'learn_rate', 'learn_time', 'acc_total_repeat', 'review_rsp1_cnt', 'review_rsp4_cnt'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Maimemo/maimemo-algorithm-experiment-01/2025-09/maimemo_flashcard_abtest_fsr_anonymized.tsv (at revision 6f1f185fd5f7d78d29a474417735ff3a273456aa)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

ab_group
string
user_id
string
reg_day
int64
reg_date
string
study_date
string
learn_cnt
float64
review_cnt
float64
total_cnt
float64
learn_rate
float64
learn_repeat
float64
review_repeat
float64
total_repeat
float64
learn_time
float64
review_time
float64
total_time
float64
acknowledge
float64
recall
float64
acc_learn_cnt
float64
acc_review_cnt
float64
acc_total_cnt
float64
acc_learn_repeat
float64
acc_review_repeat
float64
acc_total_repeat
float64
acc_learn_time
float64
acc_review_time
float64
acc_total_time
float64
review_rsp1_rate
float64
review_rsp2_rate
float64
review_rsp3_rate
float64
review_rsp4_rate
float64
learn_rsp1_rate
float64
learn_rsp2_rate
float64
learn_rsp3_rate
float64
learn_rsp4_rate
float64
review_rsp1_time
float64
review_rsp2_time
float64
review_rsp3_time
float64
learn_rsp1_time
float64
learn_rsp2_time
float64
learn_rsp3_time
float64
review_rsp1_cnt
float64
review_rsp2_cnt
float64
review_rsp3_cnt
float64
review_rsp4_cnt
float64
learn_rsp1_cnt
float64
learn_rsp2_cnt
float64
learn_rsp3_cnt
float64
learn_rsp4_cnt
float64
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2d11475f7c32ed51
0
2025-10-08
2025-10-08
16
0
16
1
16
0
16
0
0
0
1
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16
0
16
16
0
16
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1
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16
0
0
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2d11475f7c32ed51
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2025-10-08
2025-10-09
0
0
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16
16
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16
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2d11475f7c32ed51
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2025-10-08
2025-10-10
0
0
0
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-11
0
0
0
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16
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-12
0
0
0
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16
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-13
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0
0
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-14
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0
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-15
0
0
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-16
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0
0
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-17
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0
0
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16
16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-18
0
0
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16
16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-19
0
0
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0
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16
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16
16
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16
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A
2d11475f7c32ed51
12
2025-10-08
2025-10-20
0
0
0
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16
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16
16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-21
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0
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16
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16
16
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16
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A
2d11475f7c32ed51
14
2025-10-08
2025-10-22
0
0
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16
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-23
0
0
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16
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16
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A
2d11475f7c32ed51
16
2025-10-08
2025-10-24
0
0
0
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16
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16
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A
2d11475f7c32ed51
17
2025-10-08
2025-10-25
0
0
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-26
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0
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A
2d11475f7c32ed51
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2025-10-08
2025-10-27
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0
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A
2d11475f7c32ed51
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2025-10-08
2025-10-28
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0
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16
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A
2d11475f7c32ed51
21
2025-10-08
2025-10-29
0
0
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-10-30
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0
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A
2d11475f7c32ed51
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2025-10-08
2025-10-31
0
0
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A
2d11475f7c32ed51
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2025-10-08
2025-11-01
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0
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-11-02
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0
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-11-03
0
0
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A
2d11475f7c32ed51
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2025-10-08
2025-11-04
0
0
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A
2d11475f7c32ed51
28
2025-10-08
2025-11-05
0
0
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-11-06
0
0
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16
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A
2d11475f7c32ed51
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2025-10-08
2025-11-07
0
0
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16
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16
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B
69904d9a7c895718
0
2025-10-14
2025-10-14
10
0
10
1
26
0
26
0.68
0
0.68
0.2
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10
0
10
26
0
26
0.68
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0.68
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0.076923
0.115385
0.192308
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0
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0.33
0.35
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2
3
5
0
B
69904d9a7c895718
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2025-10-14
2025-10-15
5
5
10
0.5
13
7
20
0.93
0.13
1.07
0.2
0.8
15
5
20
39
7
46
1.62
0.13
1.75
0.571429
0.142857
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0
0.076923
0.076923
0.230769
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0
0.13
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0.07
0.86
4
1
0
0
1
1
3
0
B
69904d9a7c895718
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2025-10-14
2025-10-16
3
7
10
0.3
9
7
16
0.18
0
0.18
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1
18
12
30
48
14
62
1.8
0.13
1.93
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0
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0.222222
0.111111
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0
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0.11
0.07
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0
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1
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B
69904d9a7c895718
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2025-10-14
2025-10-17
8
2
10
0.8
20
6
26
1.8
0.17
1.97
0.25
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26
14
40
68
20
88
3.59
0.31
3.9
0
0.333333
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0.1
0.1
0.2
0
0
0.17
0
0
0.37
1.42
0
2
0
0
2
2
4
0
B
69904d9a7c895718
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2025-10-14
2025-10-18
0
13
13
0
0
15
15
0
0.03
0.03
0
0.923077
26
27
53
68
35
103
3.59
0.34
3.94
0.8
0.066667
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0
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0
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0.03
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0
12
1
0
0
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B
69904d9a7c895718
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2025-10-14
2025-10-19
2
8
10
0.2
6
10
16
0.09
0.02
0.12
0
0.875
28
35
63
74
45
119
3.69
0.37
4.05
0.7
0.1
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0
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0.333333
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0
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0.02
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0
0.09
0
7
1
0
0
0
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0
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B
69904d9a7c895718
6
2025-10-14
2025-10-20
7
3
10
0.7
21
5
26
1.67
0.07
1.74
0
0.666667
35
38
73
95
50
145
5.36
0.44
5.79
0.4
0.2
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0
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0.142857
0.190476
0
0
0.07
0
0
0.46
1.21
2
1
0
0
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3
4
0
B
69904d9a7c895718
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2025-10-14
2025-10-21
0
12
12
0
0
20
20
0
0.34
0.34
0
0.666667
35
50
85
95
70
165
5.36
0.78
6.14
0.4
0.2
0
0
0
0
0
0
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0.34
0
0
0
0
8
4
0
0
0
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B
69904d9a7c895718
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2025-10-14
2025-10-22
0
10
10
0
0
16
16
0
0.23
0.23
0
0.7
35
60
95
95
86
181
5.36
1.01
6.37
0.4375
0.1875
0
0
0
0
0
0
0
0.23
0
0
0
0
7
3
0
0
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B
69904d9a7c895718
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2025-10-14
2025-10-23
7
3
10
0.7
25
5
30
7.22
0.14
7.36
0
0.666667
42
63
105
120
91
211
12.58
1.15
13.73
0.4
0.2
0
0
0
0.04
0.24
0
0
0.14
0
0
0.17
7.06
2
1
0
0
0
1
6
0
B
69904d9a7c895718
10
2025-10-14
2025-10-24
0
16
16
0
0
34
34
0
5.79
5.79
0
0.4375
42
79
121
120
125
245
12.58
6.95
19.53
0.205882
0.264706
0
0
0
0
0
0
0
5.79
0
0
0
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7
9
0
0
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B
69904d9a7c895718
11
2025-10-14
2025-10-25
0
10
10
0
0
10
10
0
0
0
0
1
42
89
131
120
135
255
12.58
6.95
19.53
1
0
0
0
0
0
0
0
0
0
0
0
0
0
10
0
0
0
0
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B
69904d9a7c895718
12
2025-10-14
2025-10-26
0
5
5
0
0
7
7
0
0.03
0.03
0
0.8
42
94
136
120
142
262
12.58
6.98
19.56
0.571429
0.142857
0
0
0
0
0
0
0
0.03
0
0
0
0
4
1
0
0
0
0
0
0
B
69904d9a7c895718
13
2025-10-14
2025-10-27
0
10
10
0
0
16
16
0
0.24
0.24
0
0.7
42
104
146
120
158
278
12.58
7.23
19.81
0.4375
0.1875
0
0
0
0
0
0
0
0.24
0
0
0
0
7
3
0
0
0
0
0
0
B
69904d9a7c895718
14
2025-10-14
2025-10-28
0
10
10
0
0
14
14
0
0.31
0.31
0
0.8
42
114
156
120
172
292
12.58
7.54
20.11
0.571429
0.142857
0
0
0
0
0
0
0
0.31
0
0
0
0
8
2
0
0
0
0
0
0
B
69904d9a7c895718
15
2025-10-14
2025-10-29
10
6
16
0.625
26
6
32
1.29
0
1.29
0.2
1
52
120
172
146
178
324
13.87
7.54
21.4
1
0
0
0
0.076923
0.038462
0.269231
0
0
0
0
0
0.15
1.14
6
0
0
0
2
1
7
0
B
69904d9a7c895718
16
2025-10-14
2025-10-30
4
11
15
0.266667
13
15
28
2.72
0.22
2.93
0
0.818182
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2025-10-14
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2.26
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2025-10-14
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2025-10-16
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55
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End of preview.

Maimemo 2025 Experiment 1 Dataset (Preliminary)

This repository hosts the preliminary dataset prepared for Experiment 1 of the Maimemo 2025 study. For full experimental context and methodology, see https://memodocs.maimemo.com/docs/2025_experiment.

Contents

License

This dataset is distributed under the CC BY-NC 4.0 license. Commercial use is prohibited without prior approval from the Maimemo research team.

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