Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 19 new columns ({'hour_std', 'total_carts', 'num_categories', 'total_events', 'num_products', 'purchase_rate', 'high_activity', 'has_carted', 'price_std', 'avg_hour', 'total_views', 'total_purchases', 'purchased', 'active_days', 'min_price', 'multi_category', 'avg_price', 'max_price', 'cart_rate'}) and 8 missing columns ({'category_code', 'product_id', 'brand', 'price', 'event_time', 'event_type', 'category_id', 'user_session'}).
This happened while the csv dataset builder was generating data using
hf://datasets/skpy/E_Commerce_Behavioral_Analysis/compressed_data.csv (at revision aea4e1aa7891f1f8810986830b197b16804fe262), [/tmp/hf-datasets-cache/medium/datasets/93203725679971-config-parquet-and-info-skpy-E_Commerce_Behaviora-f2c20ede/hub/datasets--skpy--E_Commerce_Behavioral_Analysis/snapshots/aea4e1aa7891f1f8810986830b197b16804fe262/2019-Oct.csv.gz (origin=hf://datasets/skpy/E_Commerce_Behavioral_Analysis@aea4e1aa7891f1f8810986830b197b16804fe262/2019-Oct.csv.gz), /tmp/hf-datasets-cache/medium/datasets/93203725679971-config-parquet-and-info-skpy-E_Commerce_Behaviora-f2c20ede/hub/datasets--skpy--E_Commerce_Behavioral_Analysis/snapshots/aea4e1aa7891f1f8810986830b197b16804fe262/compressed_data.csv (origin=hf://datasets/skpy/E_Commerce_Behavioral_Analysis@aea4e1aa7891f1f8810986830b197b16804fe262/compressed_data.csv), /tmp/hf-datasets-cache/medium/datasets/93203725679971-config-parquet-and-info-skpy-E_Commerce_Behaviora-f2c20ede/hub/datasets--skpy--E_Commerce_Behavioral_Analysis/snapshots/aea4e1aa7891f1f8810986830b197b16804fe262/event_feature_table_v3.csv (origin=hf://datasets/skpy/E_Commerce_Behavioral_Analysis@aea4e1aa7891f1f8810986830b197b16804fe262/event_feature_table_v3.csv)]
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 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
user_id: int64
total_views: int64
total_carts: int64
total_purchases: int64
avg_price: double
max_price: double
purchased: int64
total_events: int64
cart_rate: double
purchase_rate: double
avg_hour: double
hour_std: double
active_days: int64
num_categories: int64
num_products: int64
price_std: double
min_price: double
has_carted: int64
high_activity: int64
multi_category: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2661
to
{'event_time': Value('string'), 'event_type': Value('string'), 'product_id': Value('int64'), 'category_id': Value('int64'), 'category_code': Value('string'), 'brand': Value('string'), 'price': Value('float64'), 'user_id': Value('int64'), 'user_session': Value('string')}
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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 19 new columns ({'hour_std', 'total_carts', 'num_categories', 'total_events', 'num_products', 'purchase_rate', 'high_activity', 'has_carted', 'price_std', 'avg_hour', 'total_views', 'total_purchases', 'purchased', 'active_days', 'min_price', 'multi_category', 'avg_price', 'max_price', 'cart_rate'}) and 8 missing columns ({'category_code', 'product_id', 'brand', 'price', 'event_time', 'event_type', 'category_id', 'user_session'}).
This happened while the csv dataset builder was generating data using
hf://datasets/skpy/E_Commerce_Behavioral_Analysis/compressed_data.csv (at revision aea4e1aa7891f1f8810986830b197b16804fe262), [/tmp/hf-datasets-cache/medium/datasets/93203725679971-config-parquet-and-info-skpy-E_Commerce_Behaviora-f2c20ede/hub/datasets--skpy--E_Commerce_Behavioral_Analysis/snapshots/aea4e1aa7891f1f8810986830b197b16804fe262/2019-Oct.csv.gz (origin=hf://datasets/skpy/E_Commerce_Behavioral_Analysis@aea4e1aa7891f1f8810986830b197b16804fe262/2019-Oct.csv.gz), /tmp/hf-datasets-cache/medium/datasets/93203725679971-config-parquet-and-info-skpy-E_Commerce_Behaviora-f2c20ede/hub/datasets--skpy--E_Commerce_Behavioral_Analysis/snapshots/aea4e1aa7891f1f8810986830b197b16804fe262/compressed_data.csv (origin=hf://datasets/skpy/E_Commerce_Behavioral_Analysis@aea4e1aa7891f1f8810986830b197b16804fe262/compressed_data.csv), /tmp/hf-datasets-cache/medium/datasets/93203725679971-config-parquet-and-info-skpy-E_Commerce_Behaviora-f2c20ede/hub/datasets--skpy--E_Commerce_Behavioral_Analysis/snapshots/aea4e1aa7891f1f8810986830b197b16804fe262/event_feature_table_v3.csv (origin=hf://datasets/skpy/E_Commerce_Behavioral_Analysis@aea4e1aa7891f1f8810986830b197b16804fe262/event_feature_table_v3.csv)]
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.
event_time string | event_type string | product_id int64 | category_id int64 | category_code string | brand string | price float64 | user_id int64 | user_session string |
|---|---|---|---|---|---|---|---|---|
2019-10-01 00:00:00 UTC | view | 44,600,062 | 2,103,807,459,595,387,600 | null | shiseido | 35.79 | 541,312,140 | 72d76fde-8bb3-4e00-8c23-a032dfed738c |
2019-10-01 00:00:00 UTC | view | 3,900,821 | 2,053,013,552,326,771,000 | appliances.environment.water_heater | aqua | 33.2 | 554,748,717 | 9333dfbd-b87a-4708-9857-6336556b0fcc |
2019-10-01 00:00:01 UTC | view | 17,200,506 | 2,053,013,559,792,632,600 | furniture.living_room.sofa | null | 543.1 | 519,107,250 | 566511c2-e2e3-422b-b695-cf8e6e792ca8 |
2019-10-01 00:00:01 UTC | view | 1,307,067 | 2,053,013,558,920,217,000 | computers.notebook | lenovo | 251.74 | 550,050,854 | 7c90fc70-0e80-4590-96f3-13c02c18c713 |
2019-10-01 00:00:04 UTC | view | 1,004,237 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 1,081.98 | 535,871,217 | c6bd7419-2748-4c56-95b4-8cec9ff8b80d |
2019-10-01 00:00:05 UTC | view | 1,480,613 | 2,053,013,561,092,866,800 | computers.desktop | pulser | 908.62 | 512,742,880 | 0d0d91c2-c9c2-4e81-90a5-86594dec0db9 |
2019-10-01 00:00:08 UTC | view | 17,300,353 | 2,053,013,553,853,497,600 | null | creed | 380.96 | 555,447,699 | 4fe811e9-91de-46da-90c3-bbd87ed3a65d |
2019-10-01 00:00:08 UTC | view | 31,500,053 | 2,053,013,558,031,024,600 | null | luminarc | 41.16 | 550,978,835 | 6280d577-25c8-4147-99a7-abc6048498d6 |
2019-10-01 00:00:10 UTC | view | 28,719,074 | 2,053,013,565,480,109,000 | apparel.shoes.keds | baden | 102.71 | 520,571,932 | ac1cd4e5-a3ce-4224-a2d7-ff660a105880 |
2019-10-01 00:00:11 UTC | view | 1,004,545 | 2,053,013,555,631,882,800 | electronics.smartphone | huawei | 566.01 | 537,918,940 | 406c46ed-90a4-4787-a43b-59a410c1a5fb |
2019-10-01 00:00:11 UTC | view | 2,900,536 | 2,053,013,554,776,244,500 | appliances.kitchen.microwave | elenberg | 51.46 | 555,158,050 | b5bdd0b3-4ca2-4c55-939e-9ce44bb50abd |
2019-10-01 00:00:11 UTC | view | 1,005,011 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 900.64 | 530,282,093 | 50a293fb-5940-41b2-baf3-17af0e812101 |
2019-10-01 00:00:13 UTC | view | 3,900,746 | 2,053,013,552,326,771,000 | appliances.environment.water_heater | haier | 102.38 | 555,444,559 | 98b88fa0-d8fa-4b9d-8a71-3dd403afab85 |
2019-10-01 00:00:15 UTC | view | 44,600,062 | 2,103,807,459,595,387,600 | null | shiseido | 35.79 | 541,312,140 | 72d76fde-8bb3-4e00-8c23-a032dfed738c |
2019-10-01 00:00:16 UTC | view | 13,500,240 | 2,053,013,557,099,889,200 | furniture.bedroom.bed | brw | 93.18 | 555,446,365 | 7f0062d8-ead0-4e0a-96f6-43a0b79a2fc4 |
2019-10-01 00:00:17 UTC | view | 23,100,006 | 2,053,013,561,638,126,300 | null | null | 357.79 | 513,642,368 | 17566c27-0a8f-4506-9f30-c6a2ccbf583b |
2019-10-01 00:00:18 UTC | view | 1,801,995 | 2,053,013,554,415,534,300 | electronics.video.tv | haier | 193.03 | 537,192,226 | e3151795-c355-4efa-acf6-e1fe1bebeee5 |
2019-10-01 00:00:18 UTC | view | 10,900,029 | 2,053,013,555,069,845,800 | appliances.kitchen.mixer | bosch | 58.95 | 519,528,062 | 901b9e3c-3f8f-4147-a442-c25d5c5ed332 |
2019-10-01 00:00:19 UTC | view | 1,306,631 | 2,053,013,558,920,217,000 | computers.notebook | hp | 580.89 | 550,050,854 | 7c90fc70-0e80-4590-96f3-13c02c18c713 |
2019-10-01 00:00:19 UTC | view | 1,005,135 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 1,747.79 | 535,871,217 | c6bd7419-2748-4c56-95b4-8cec9ff8b80d |
2019-10-01 00:00:20 UTC | view | 1,003,306 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 588.77 | 555,446,831 | 6ec635da-ea15-4a5d-96b4-c8ca9d38f89f |
2019-10-01 00:00:20 UTC | view | 4,803,399 | 2,053,013,554,658,804,000 | electronics.audio.headphone | jbl | 33.21 | 555,428,858 | 8a6afed4-77f8-40c9-8e76-e062b28216ce |
2019-10-01 00:00:22 UTC | view | 1,480,714 | 2,053,013,561,092,866,800 | computers.desktop | pulser | 921.49 | 512,742,880 | 0d0d91c2-c9c2-4e81-90a5-86594dec0db9 |
2019-10-01 00:00:23 UTC | view | 1,004,739 | 2,053,013,555,631,882,800 | electronics.smartphone | xiaomi | 197.55 | 519,530,528 | 9882d21f-2c5f-496b-90d4-a1503edb6562 |
2019-10-01 00:00:23 UTC | view | 6,200,260 | 2,053,013,552,293,216,500 | appliances.environment.air_heater | midea | 47.62 | 538,645,907 | 7d9a8784-7b6c-426e-9924-9f688812fd71 |
2019-10-01 00:00:24 UTC | view | 1,003,306 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 588.77 | 555,446,831 | 6ec635da-ea15-4a5d-96b4-c8ca9d38f89f |
2019-10-01 00:00:24 UTC | view | 34,700,031 | 2,061,717,937,420,501,800 | null | null | 151.87 | 539,512,263 | f27a45f8-fb98-459a-96a6-45271f56a987 |
2019-10-01 00:00:25 UTC | view | 3,900,990 | 2,053,013,552,326,771,000 | appliances.environment.water_heater | ariston | 122.18 | 554,748,717 | 5459fbe4-2aa5-42b9-9064-05f853218fe0 |
2019-10-01 00:00:25 UTC | view | 27,500,014 | 2,053,013,554,692,358,400 | null | redmond | 37.98 | 555,217,733 | 74d40a28-41f9-4325-bbae-b179bd2c0a38 |
2019-10-01 00:00:25 UTC | view | 19,001,139 | 2,053,013,557,225,718,300 | null | gran-stone | 67.58 | 525,734,504 | 83f584ed-c7f7-442e-8ae9-713cb27fdece |
2019-10-01 00:00:26 UTC | view | 28,719,071 | 2,053,013,565,480,109,000 | apparel.shoes.keds | baden | 102.71 | 520,571,932 | ac1cd4e5-a3ce-4224-a2d7-ff660a105880 |
2019-10-01 00:00:26 UTC | view | 13,500,046 | 2,053,013,557,099,889,200 | furniture.bedroom.bed | null | 60.75 | 555,446,365 | 7f0062d8-ead0-4e0a-96f6-43a0b79a2fc4 |
2019-10-01 00:00:27 UTC | view | 31,501,072 | 2,053,013,558,031,024,600 | null | null | 165.64 | 550,978,835 | 6280d577-25c8-4147-99a7-abc6048498d6 |
2019-10-01 00:00:27 UTC | view | 10,800,001 | 2,053,013,554,994,348,300 | null | maxwell | 32.92 | 539,194,858 | 5fe9d0a0-0de6-47de-a55a-eae9f89475cd |
2019-10-01 00:00:28 UTC | view | 28,600,026 | 2,053,013,558,282,683,000 | null | null | 399.73 | 555,447,224 | 889da81c-2cfc-4df6-a038-ed436c79ee80 |
2019-10-01 00:00:28 UTC | view | 26,200,591 | 2,053,013,563,693,335,300 | null | null | 203.35 | 548,449,430 | 99617d1c-1b5a-42f8-99f1-42ad83a6155f |
2019-10-01 00:00:28 UTC | view | 28,714,755 | 2,053,013,565,228,450,800 | apparel.shoes | respect | 51.22 | 555,447,570 | 99877fbe-d5a8-475e-a662-66bc9d29b6f8 |
2019-10-01 00:00:30 UTC | view | 3,701,388 | 2,053,013,565,983,425,500 | appliances.environment.vacuum | dauscher | 33.21 | 515,342,595 | 0e30e1c0-4d3e-4e1a-90e3-ab93b5f5c1a2 |
2019-10-01 00:00:31 UTC | view | 3,900,746 | 2,053,013,552,326,771,000 | appliances.environment.water_heater | haier | 102.38 | 555,444,559 | 98b88fa0-d8fa-4b9d-8a71-3dd403afab85 |
2019-10-01 00:00:31 UTC | view | 28,718,079 | 2,053,013,565,362,668,500 | apparel.shoes.keds | respect | 66.67 | 545,323,115 | 75fb5d0c-e907-4293-9c87-2419c2a7709d |
2019-10-01 00:00:33 UTC | view | 2,700,239 | 2,053,013,563,911,439,000 | appliances.kitchen.refrigerators | atlant | 283.12 | 521,242,564 | f102dd9b-1cbc-4271-b1f8-a34548d02ec3 |
2019-10-01 00:00:33 UTC | view | 28,717,908 | 2,053,013,565,782,099,000 | apparel.shoes | burgerschuhe | 102.45 | 513,798,668 | 2034798f-43f2-8bcb-b169-c5f04a7a5a4f |
2019-10-01 00:00:34 UTC | view | 26,200,591 | 2,053,013,563,693,335,300 | null | null | 203.35 | 555,447,748 | b50d1ae8-1948-4517-8460-09b7601ceef6 |
2019-10-01 00:00:35 UTC | view | 3,701,244 | 2,053,013,565,983,425,500 | appliances.environment.vacuum | elenberg | 33.44 | 515,535,834 | d90a6f2f-0d0f-47cf-9fe9-62db93dffdb9 |
2019-10-01 00:00:35 UTC | view | 4,300,070 | 2,053,013,552,385,491,200 | null | timberk | 38.59 | 544,648,245 | bb8e28c8-d11f-428a-95e7-056e974fe835 |
2019-10-01 00:00:35 UTC | view | 3,601,505 | 2,053,013,563,810,775,800 | appliances.kitchen.washer | samsung | 463.15 | 526,631,741 | 5ec9bd77-beef-443e-b987-62ffb55b8132 |
2019-10-01 00:00:36 UTC | view | 12,712,064 | 2,053,013,553,559,896,300 | null | triangle | 30.89 | 515,454,339 | 828dbd8e-8683-409b-aef6-6a94ac983b45 |
2019-10-01 00:00:36 UTC | view | 3,600,575 | 2,053,013,563,810,775,800 | appliances.kitchen.washer | hotpoint-ariston | 275.37 | 554,754,045 | bd0302ef-c5ca-4b6a-b916-95cc2840c72c |
2019-10-01 00:00:36 UTC | view | 2,900,475 | 2,053,013,554,776,244,500 | appliances.kitchen.microwave | gorenje | 295.99 | 533,078,094 | 6eaaf55a-7bbe-4b3d-95a8-f3b3e31c39c8 |
2019-10-01 00:00:36 UTC | view | 1,004,767 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 254.82 | 512,558,158 | 9a206ba2-37c7-4354-9d31-37ff3bb297ed |
2019-10-01 00:00:37 UTC | view | 1,701,111 | 2,053,013,553,031,414,000 | computers.peripherals.monitor | acer | 514.79 | 547,028,884 | 3ea7c620-a8d7-45c5-9ced-2e9874e2f549 |
2019-10-01 00:00:41 UTC | view | 1,003,141 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 382.97 | 551,377,651 | ca11a570-47da-4630-898b-9a03127703da |
2019-10-01 00:00:42 UTC | view | 4,803,399 | 2,053,013,554,658,804,000 | electronics.audio.headphone | jbl | 33.21 | 555,428,858 | 8a6afed4-77f8-40c9-8e76-e062b28216ce |
2019-10-01 00:00:42 UTC | view | 26,400,291 | 2,053,013,563,651,392,300 | null | lucente | 188.94 | 551,331,813 | 19ded3e3-823b-4f51-ad00-ab84f364f5ef |
2019-10-01 00:00:43 UTC | view | 1,005,135 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 1,747.79 | 535,871,217 | c6bd7419-2748-4c56-95b4-8cec9ff8b80d |
2019-10-01 00:00:44 UTC | view | 23,100,006 | 2,053,013,561,638,126,300 | null | null | 357.79 | 513,642,368 | 17566c27-0a8f-4506-9f30-c6a2ccbf583b |
2019-10-01 00:00:44 UTC | view | 31,501,163 | 2,053,013,558,031,024,600 | null | luminarc | 128.45 | 550,978,835 | 6280d577-25c8-4147-99a7-abc6048498d6 |
2019-10-01 00:00:44 UTC | view | 1,002,544 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 464.13 | 532,085,144 | 77ae546a-542b-414c-a01b-c5ceca7e99cf |
2019-10-01 00:00:44 UTC | view | 26,500,313 | 2,053,013,563,550,729,000 | null | lucente | 267.19 | 525,856,698 | f72ea16b-4ec3-44f8-8fcd-35d89984b744 |
2019-10-01 00:00:46 UTC | view | 13,500,041 | 2,053,013,557,099,889,200 | furniture.bedroom.bed | brw | 80.31 | 555,446,365 | 7f0062d8-ead0-4e0a-96f6-43a0b79a2fc4 |
2019-10-01 00:00:46 UTC | view | 4,100,126 | 2,053,013,561,218,696,000 | null | sony | 326.62 | 519,885,473 | b70cb218-db90-4011-b582-0bd237109df1 |
2019-10-01 00:00:50 UTC | view | 19,000,296 | 2,053,013,557,225,718,300 | null | gran-stone | 64.93 | 525,734,504 | 83f584ed-c7f7-442e-8ae9-713cb27fdece |
2019-10-01 00:00:50 UTC | view | 28,717,211 | 2,053,013,565,882,762,200 | null | respect | 76.96 | 555,447,577 | 4337a670-6520-4159-aff4-fd620d2599f9 |
2019-10-01 00:00:50 UTC | view | 1,005,105 | 2,053,013,555,631,882,800 | electronics.smartphone | apple | 1,415.48 | 529,755,884 | 0b828fb6-99bd-4d26-beb3-3021f5d6102c |
2019-10-01 00:00:50 UTC | view | 1,307,135 | 2,053,013,558,920,217,000 | computers.notebook | hp | 320.35 | 542,378,517 | 244570b9-ebb4-4d4a-b63a-653225d975d5 |
2019-10-01 00:00:51 UTC | view | 27,500,014 | 2,053,013,554,692,358,400 | null | redmond | 37.98 | 555,217,733 | 74d40a28-41f9-4325-bbae-b179bd2c0a38 |
2019-10-01 00:00:55 UTC | view | 1,004,659 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 787.18 | 512,558,158 | 9a206ba2-37c7-4354-9d31-37ff3bb297ed |
2019-10-01 00:00:56 UTC | view | 4,804,295 | 2,053,013,554,658,804,000 | electronics.audio.headphone | xiaomi | 23.13 | 541,366,014 | 6d8ce6fb-2953-4e95-96fe-b40f1ec50ba8 |
2019-10-01 00:00:57 UTC | view | 1,004,873 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 388.81 | 555,447,651 | c3240a5e-6cb8-4d78-9732-a63c608444ef |
2019-10-01 00:00:57 UTC | view | 1,005,073 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 1,207.71 | 543,427,258 | 4fc3e61d-5f94-45bb-82dc-ac77f59b5870 |
2019-10-01 00:00:58 UTC | view | 4,802,639 | 2,053,013,554,658,804,000 | electronics.audio.headphone | sony | 218.77 | 514,808,401 | 1877639d-46a4-44f8-bae9-a14456952240 |
2019-10-01 00:01:00 UTC | view | 3,900,930 | 2,053,013,552,326,771,000 | appliances.environment.water_heater | teploross | 90.32 | 555,444,559 | 98b88fa0-d8fa-4b9d-8a71-3dd403afab85 |
2019-10-01 00:01:00 UTC | view | 3,701,062 | 2,053,013,565,983,425,500 | appliances.environment.vacuum | gorenje | 90.07 | 515,342,595 | 0e30e1c0-4d3e-4e1a-90e3-ab93b5f5c1a2 |
2019-10-01 00:01:00 UTC | view | 4,300,262 | 2,053,013,552,385,491,200 | null | vitek | 72 | 523,239,174 | 464a96b0-03ee-420d-92fb-643469379b89 |
2019-10-01 00:01:02 UTC | view | 27,500,015 | 2,053,013,554,692,358,400 | null | kelli | 36.6 | 555,217,733 | 74d40a28-41f9-4325-bbae-b179bd2c0a38 |
2019-10-01 00:01:02 UTC | view | 10,900,026 | 2,053,013,555,069,845,800 | appliances.kitchen.mixer | panasonic | 40.8 | 514,080,443 | b65b8d08-14af-496c-94cb-44886c6a96d5 |
2019-10-01 00:01:04 UTC | view | 1,004,870 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 286.86 | 516,489,361 | 7d6d03fb-39d6-4143-8694-981a550acaaa |
2019-10-01 00:01:05 UTC | view | 1,306,083 | 2,053,013,558,920,217,000 | computers.notebook | hp | 1,512.78 | 550,050,854 | 7c90fc70-0e80-4590-96f3-13c02c18c713 |
2019-10-01 00:01:06 UTC | view | 1,307,004 | 2,053,013,558,920,217,000 | computers.notebook | lenovo | 290.61 | 542,378,517 | 244570b9-ebb4-4d4a-b63a-653225d975d5 |
2019-10-01 00:01:06 UTC | view | 1,004,856 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 130.76 | 555,447,788 | 94c1a98c-41a3-401e-ad99-439beac4495c |
2019-10-01 00:01:07 UTC | view | 27,700,113 | 2,053,013,560,086,233,900 | construction.tools.pump | leo | 48.9 | 515,630,204 | f9cc0313-5572-4894-a4eb-45d855f064cc |
2019-10-01 00:01:08 UTC | view | 1,004,659 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 787.18 | 512,558,158 | 9a206ba2-37c7-4354-9d31-37ff3bb297ed |
2019-10-01 00:01:09 UTC | view | 15,100,337 | 2,053,013,557,024,391,700 | null | null | 257.15 | 519,107,250 | 566511c2-e2e3-422b-b695-cf8e6e792ca8 |
2019-10-01 00:01:10 UTC | view | 4,100,126 | 2,053,013,561,218,696,000 | null | sony | 326.62 | 519,885,473 | b70cb218-db90-4011-b582-0bd237109df1 |
2019-10-01 00:01:11 UTC | view | 1,004,836 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 241.19 | 546,259,103 | 6e2984c8-502e-4fe7-bbba-34087f760175 |
2019-10-01 00:01:12 UTC | view | 26,500,144 | 2,053,013,563,550,729,000 | null | lucente | 259.21 | 525,856,698 | f72ea16b-4ec3-44f8-8fcd-35d89984b744 |
2019-10-01 00:01:14 UTC | view | 1,004,659 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 787.18 | 512,558,158 | 9a206ba2-37c7-4354-9d31-37ff3bb297ed |
2019-10-01 00:01:14 UTC | view | 32,601,078 | 2,053,013,566,587,404,300 | null | okuma | 32.18 | 513,696,314 | 1c073854-b838-4cf9-bfe9-b30b742b1751 |
2019-10-01 00:01:15 UTC | view | 1,801,555 | 2,053,013,554,415,534,300 | electronics.video.tv | lg | 462.25 | 537,918,940 | 406c46ed-90a4-4787-a43b-59a410c1a5fb |
2019-10-01 00:01:16 UTC | view | 1,004,497 | 2,053,013,555,631,882,800 | electronics.smartphone | nokia | 159.33 | 550,859,983 | 4718c88d-1892-4a5f-931a-f61ad7a20459 |
2019-10-01 00:01:17 UTC | view | 50,500,080 | 2,127,425,438,190,928,400 | null | krause | 77.69 | 513,642,368 | 17566c27-0a8f-4506-9f30-c6a2ccbf583b |
2019-10-01 00:01:17 UTC | view | 1,004,856 | 2,053,013,555,631,882,800 | electronics.smartphone | samsung | 130.76 | 515,757,896 | 4938043e-e50f-44ad-944d-958d04df62d6 |
2019-10-01 00:01:21 UTC | view | 28,708,392 | 2,053,013,565,069,067,300 | apparel.shoes.keds | strobbs | 31.92 | 555,447,570 | 99877fbe-d5a8-475e-a662-66bc9d29b6f8 |
2019-10-01 00:01:23 UTC | view | 10,900,026 | 2,053,013,555,069,845,800 | appliances.kitchen.mixer | panasonic | 40.8 | 514,080,443 | b65b8d08-14af-496c-94cb-44886c6a96d5 |
2019-10-01 00:01:24 UTC | view | 34,700,023 | 2,061,717,937,420,501,800 | null | null | 109.4 | 539,512,263 | f27a45f8-fb98-459a-96a6-45271f56a987 |
2019-10-01 00:01:24 UTC | view | 1,004,785 | 2,053,013,555,631,882,800 | electronics.smartphone | huawei | 278.55 | 514,336,739 | cccc58c1-4986-4d08-b595-d837c0c7d514 |
2019-10-01 00:01:25 UTC | view | 3,900,990 | 2,053,013,552,326,771,000 | appliances.environment.water_heater | ariston | 122.18 | 554,748,717 | 5459fbe4-2aa5-42b9-9064-05f853218fe0 |
2019-10-01 00:01:26 UTC | view | 15,100,008 | 2,053,013,557,024,391,700 | null | bts | 488.82 | 519,107,250 | 566511c2-e2e3-422b-b695-cf8e6e792ca8 |
2019-10-01 00:01:27 UTC | view | 10,800,076 | 2,053,013,554,994,348,300 | null | redmond | 54.03 | 539,194,858 | 5fe9d0a0-0de6-47de-a55a-eae9f89475cd |
2019-10-01 00:01:28 UTC | view | 4,300,070 | 2,053,013,552,385,491,200 | null | timberk | 38.59 | 544,648,245 | bb8e28c8-d11f-428a-95e7-056e974fe835 |
End of preview.
No dataset card yet
- Downloads last month
- 6