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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 10 new columns ({'email', 'customer_segment', 'total_orders', 'area', 'address', 'avg_order_value', 'registration_date', 'customer_name', 'pincode', 'phone'}) and 7 missing columns ({'feedback_date', 'rating', 'sentiment', 'feedback_text', 'feedback_id', 'order_id', 'feedback_category'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jason1966/akxiit_blinkit-sales-dataset/blinkit_customers.csv (at revision 0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb), [/tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customer_feedback.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customer_feedback.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customers.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customers.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_delivery_performance.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_delivery_performance.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventory.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventory.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventoryNew.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventoryNew.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_marketing_performance.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_marketing_performance.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_order_items.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_order_items.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_orders.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_orders.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_products.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_products.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 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
customer_id: int64
customer_name: string
email: string
phone: int64
address: string
area: string
pincode: int64
registration_date: string
customer_segment: string
total_orders: int64
avg_order_value: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1575
to
{'feedback_id': Value('int64'), 'order_id': Value('int64'), 'customer_id': Value('int64'), 'rating': Value('int64'), 'feedback_text': Value('string'), 'feedback_category': Value('string'), 'sentiment': Value('string'), 'feedback_date': 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 10 new columns ({'email', 'customer_segment', 'total_orders', 'area', 'address', 'avg_order_value', 'registration_date', 'customer_name', 'pincode', 'phone'}) and 7 missing columns ({'feedback_date', 'rating', 'sentiment', 'feedback_text', 'feedback_id', 'order_id', 'feedback_category'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jason1966/akxiit_blinkit-sales-dataset/blinkit_customers.csv (at revision 0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb), [/tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customer_feedback.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customer_feedback.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customers.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_customers.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_delivery_performance.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_delivery_performance.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventory.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventory.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventoryNew.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_inventoryNew.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_marketing_performance.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_marketing_performance.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_order_items.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_order_items.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_orders.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_orders.csv), /tmp/hf-datasets-cache/medium/datasets/43942977701608-config-parquet-and-info-jason1966-akxiit_blinkit--3353ff6a/hub/datasets--jason1966--akxiit_blinkit-sales-dataset/snapshots/0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_products.csv (origin=hf://datasets/jason1966/akxiit_blinkit-sales-dataset@0e4fd0c7f12bf2f05ce5ccce72c10b58b366e4fb/blinkit_products.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.
feedback_id int64 | order_id int64 | customer_id int64 | rating int64 | feedback_text string | feedback_category string | sentiment string | feedback_date string |
|---|---|---|---|---|---|---|---|
2,234,710 | 1,961,864,118 | 30,065,862 | 4 | It was okay, nothing special. | Delivery | Neutral | 2024-07-17 |
5,450,964 | 1,549,769,649 | 9,573,071 | 3 | The order was incorrect. | App Experience | Negative | 2024-05-28 |
482,108 | 9,185,164,487 | 45,477,575 | 3 | It was okay, nothing special. | App Experience | Neutral | 2024-09-23 |
4,823,104 | 9,644,738,826 | 88,067,569 | 4 | The product met my expectations. | App Experience | Neutral | 2023-11-24 |
3,537,464 | 5,427,684,290 | 83,298,567 | 3 | Product was damaged during delivery. | Delivery | Negative | 2023-11-20 |
4,089,724 | 3,265,154,092 | 43,367,112 | 2 | Product was damaged during delivery. | Customer Service | Negative | 2023-03-18 |
230,696 | 4,898,355,547 | 13,284,996 | 4 | Highly recommended! | Product Quality | Positive | 2023-04-16 |
2,259,308 | 6,568,151,549 | 88,866,835 | 2 | I had a bad experience. | App Experience | Negative | 2024-03-31 |
7,380,970 | 6,006,693,867 | 24,496,983 | 3 | Product was damaged during delivery. | Delivery | Negative | 2023-07-14 |
2,257,242 | 374,186,990 | 52,215,833 | 3 | The product met my expectations. | App Experience | Neutral | 2023-08-09 |
1,837,573 | 4,455,336,265 | 43,431,724 | 2 | Taste was not as expected. | Delivery | Negative | 2023-08-30 |
258,023 | 3,539,286,337 | 77,559,557 | 3 | Delivery was fine, but the product could be better. | Delivery | Neutral | 2023-04-25 |
3,081,099 | 9,171,116,867 | 87,107,263 | 4 | The product met my expectations. | Customer Service | Neutral | 2023-10-22 |
3,158,837 | 5,504,941,865 | 76,512,976 | 5 | Highly recommended! | App Experience | Positive | 2024-01-28 |
9,465,932 | 5,868,326,481 | 37,556,526 | 4 | Nothing to complain about, but nothing exceptional. | Product Quality | Neutral | 2024-03-15 |
8,111,644 | 2,137,046,916 | 12,059,049 | 4 | Overall good experience, thank you! | Customer Service | Positive | 2024-02-03 |
121,425 | 8,195,544,338 | 26,199,489 | 4 | Nothing to complain about, but nothing exceptional. | Delivery | Neutral | 2023-04-26 |
8,267,419 | 2,889,700,050 | 84,848,018 | 4 | Average experience, could improve. | Delivery | Neutral | 2024-04-30 |
7,168,244 | 65,827,885 | 47,577,193 | 1 | Product was damaged during delivery. | Delivery | Negative | 2023-07-27 |
2,482,108 | 4,656,471,694 | 60,728,956 | 3 | Not worth the price I paid. | Customer Service | Negative | 2023-12-09 |
3,769,939 | 6,625,178,717 | 62,068,277 | 2 | Items were missing from my order. | Product Quality | Negative | 2023-07-01 |
9,592,296 | 7,169,557,514 | 84,824,280 | 2 | Customer service was not helpful. | Product Quality | Negative | 2023-03-21 |
1,592,958 | 2,268,306,684 | 66,742,602 | 5 | Overall good experience, thank you! | Delivery | Positive | 2024-05-28 |
2,088,819 | 6,905,293,278 | 97,259,564 | 3 | It was okay, nothing special. | Delivery | Neutral | 2024-06-16 |
3,567,003 | 1,769,493,463 | 3,292,927 | 2 | I had a bad experience. | App Experience | Negative | 2024-06-26 |
2,903,160 | 5,003,387,344 | 26,592,009 | 4 | Nothing to complain about, but nothing exceptional. | Delivery | Neutral | 2024-06-23 |
7,511,717 | 2,064,484,752 | 89,995,124 | 3 | The product met my expectations. | Customer Service | Neutral | 2024-05-07 |
1,055,307 | 964,822,979 | 88,520,326 | 3 | Delivery was late and I was unhappy. | Product Quality | Negative | 2024-07-13 |
1,477,592 | 6,037,899,648 | 22,738,465 | 3 | Delivery was fine, but the product could be better. | Product Quality | Neutral | 2024-03-27 |
7,898,352 | 9,347,571,484 | 29,562,072 | 3 | I had a bad experience. | Product Quality | Negative | 2024-11-02 |
8,804,364 | 3,286,177,534 | 10,225,164 | 3 | The product met my expectations. | Delivery | Neutral | 2023-06-25 |
1,208,337 | 9,073,572,548 | 97,111,069 | 4 | The product met my expectations. | Customer Service | Neutral | 2023-05-02 |
4,382,390 | 8,395,583,761 | 1,989,720 | 4 | Great prices and fast delivery! | App Experience | Positive | 2024-08-04 |
4,858,018 | 6,355,378,227 | 67,092,149 | 4 | Overall good experience, thank you! | Customer Service | Positive | 2023-08-11 |
2,400,571 | 277,376,321 | 89,784,343 | 4 | Great prices and fast delivery! | App Experience | Positive | 2024-07-28 |
3,093,140 | 8,559,748,526 | 45,868,300 | 4 | Average experience, could improve. | App Experience | Neutral | 2023-04-05 |
9,407,783 | 1,458,051,433 | 50,760,752 | 4 | The product met my expectations. | App Experience | Neutral | 2024-04-26 |
1,180,902 | 5,838,302,640 | 96,795,047 | 4 | It was okay, nothing special. | App Experience | Neutral | 2023-05-12 |
6,888,502 | 1,380,971,977 | 16,561,710 | 3 | Delivery was fine, but the product could be better. | Product Quality | Neutral | 2024-06-02 |
8,679,241 | 1,221,099,013 | 35,156,679 | 4 | Nothing to complain about, but nothing exceptional. | Customer Service | Neutral | 2023-07-23 |
7,512,781 | 6,771,166,303 | 87,718,744 | 3 | The order was incorrect. | Product Quality | Negative | 2023-07-24 |
5,356,601 | 7,111,337,755 | 10,524,732 | 4 | Average experience, could improve. | Customer Service | Neutral | 2023-05-06 |
9,043,273 | 5,562,922,993 | 62,416,456 | 4 | Nothing to complain about, but nothing exceptional. | Product Quality | Neutral | 2023-12-06 |
3,470,106 | 5,630,957,897 | 69,925,688 | 4 | Delivery was fine, but the product could be better. | Delivery | Neutral | 2024-06-18 |
5,957,700 | 1,787,380,558 | 5,140,660 | 4 | Nothing to complain about, but nothing exceptional. | App Experience | Neutral | 2023-11-08 |
8,956,798 | 32,613,017 | 82,594,354 | 5 | Excellent quality, will buy again! | Delivery | Positive | 2023-03-17 |
4,843,776 | 2,039,041,670 | 88,324,928 | 4 | Average experience, could improve. | Product Quality | Neutral | 2024-11-01 |
8,241,448 | 210,693,801 | 71,235,336 | 3 | Product was damaged during delivery. | Customer Service | Negative | 2024-08-21 |
1,664,531 | 8,120,002,258 | 57,833,505 | 3 | Nothing to complain about, but nothing exceptional. | Delivery | Neutral | 2024-01-01 |
4,940,244 | 2,177,917,034 | 12,402,437 | 5 | Will definitely order again. | App Experience | Positive | 2024-02-08 |
7,165,598 | 4,254,814,926 | 59,890,331 | 3 | The packaging was poor. | App Experience | Negative | 2024-04-21 |
4,424,806 | 6,074,172,790 | 14,944,819 | 4 | Good selection of products. | Customer Service | Positive | 2023-07-26 |
2,074,845 | 3,381,573,131 | 67,386,193 | 1 | Delivery was late and I was unhappy. | Delivery | Negative | 2024-07-16 |
417,728 | 3,773,745,777 | 67,701,771 | 4 | It was okay, nothing special. | Customer Service | Neutral | 2024-05-02 |
5,642,561 | 9,251,939,156 | 89,910,157 | 4 | Overall good experience, thank you! | App Experience | Positive | 2023-12-30 |
261,554 | 3,872,982,303 | 15,484,407 | 4 | It was okay, nothing special. | Delivery | Neutral | 2024-02-03 |
1,822,011 | 2,625,987,757 | 10,769,994 | 3 | It was okay, nothing special. | Delivery | Neutral | 2023-08-01 |
4,763,044 | 3,162,249,401 | 85,519,349 | 4 | Excellent quality, will buy again! | Delivery | Positive | 2024-05-03 |
5,621,837 | 3,108,986,741 | 49,241,309 | 3 | Product was damaged during delivery. | Product Quality | Negative | 2023-10-17 |
4,571,579 | 1,851,474,741 | 23,348,269 | 2 | The order was incorrect. | Product Quality | Negative | 2023-11-01 |
3,853,657 | 2,425,099,132 | 85,016,568 | 4 | Delivery was fine, but the product could be better. | Product Quality | Neutral | 2023-08-15 |
7,245,923 | 6,706,793,332 | 6,247,821 | 2 | I had a bad experience. | Delivery | Negative | 2024-10-09 |
2,338,813 | 2,149,289,255 | 57,579,640 | 3 | Delivery was late and I was unhappy. | Product Quality | Negative | 2024-11-01 |
2,222,062 | 1,971,008,155 | 2,457,734 | 1 | Items were missing from my order. | App Experience | Negative | 2023-10-23 |
6,813,661 | 2,087,093,460 | 59,329,145 | 4 | Delivery was fine, but the product could be better. | Delivery | Neutral | 2024-07-11 |
4,065,309 | 2,116,712,588 | 24,043,135 | 3 | It was okay, nothing special. | Delivery | Neutral | 2023-11-11 |
3,025,076 | 6,054,358,790 | 59,216,664 | 3 | Average experience, could improve. | Product Quality | Neutral | 2024-01-26 |
9,329,920 | 532,660,797 | 41,008,070 | 3 | Delivery was fine, but the product could be better. | Delivery | Neutral | 2024-05-20 |
1,307,363 | 1,491,991,005 | 52,215,833 | 3 | Very disappointed with the quality. | Product Quality | Negative | 2024-03-04 |
1,930,153 | 4,136,019,599 | 74,179,536 | 4 | Excellent quality, will buy again! | App Experience | Positive | 2024-03-23 |
5,614,682 | 2,122,832,513 | 55,028,958 | 1 | Customer service was not helpful. | Customer Service | Negative | 2024-02-17 |
6,784,407 | 3,717,703,595 | 88,965,399 | 4 | Excellent quality, will buy again! | Delivery | Positive | 2023-04-24 |
2,013,422 | 3,194,733,693 | 21,866,852 | 4 | The product met my expectations. | Product Quality | Neutral | 2023-07-05 |
344,048 | 4,471,162,437 | 27,971,619 | 4 | It was okay, nothing special. | App Experience | Neutral | 2024-02-06 |
3,089,818 | 1,609,331,948 | 8,791,577 | 3 | It was okay, nothing special. | Product Quality | Neutral | 2024-01-04 |
5,340,615 | 6,920,030,794 | 70,372,270 | 3 | The packaging was poor. | Customer Service | Negative | 2024-06-24 |
8,229,982 | 5,127,172,657 | 32,293,017 | 4 | Overall good experience, thank you! | Product Quality | Positive | 2024-06-11 |
2,195,625 | 8,607,115,856 | 15,931,134 | 4 | The product met my expectations. | Customer Service | Neutral | 2023-10-09 |
4,371,570 | 7,154,957,395 | 60,700,850 | 3 | It was okay, nothing special. | App Experience | Neutral | 2023-04-09 |
7,289,033 | 2,070,762,702 | 34,761,418 | 4 | Excellent quality, will buy again! | Product Quality | Positive | 2023-10-04 |
2,978,291 | 3,697,242,439 | 99,361,865 | 3 | Delivery was fine, but the product could be better. | Customer Service | Neutral | 2024-10-15 |
9,074,696 | 3,063,427,913 | 75,984,768 | 4 | Excellent quality, will buy again! | Customer Service | Positive | 2023-09-21 |
4,994,827 | 2,060,061,337 | 29,272,253 | 1 | Customer service was not helpful. | App Experience | Negative | 2023-04-15 |
1,932,712 | 4,625,892,678 | 80,371,626 | 1 | The packaging was poor. | Delivery | Negative | 2023-06-18 |
5,568,145 | 6,045,698,170 | 666,589 | 5 | Great prices and fast delivery! | Delivery | Positive | 2024-01-24 |
8,266,029 | 7,876,289,647 | 98,858,383 | 4 | The product met my expectations. | Delivery | Neutral | 2024-08-07 |
7,621,707 | 3,434,084,714 | 46,836,361 | 4 | Highly recommended! | Product Quality | Positive | 2024-02-02 |
545,267 | 9,031,695,663 | 94,730,288 | 2 | The packaging was poor. | App Experience | Negative | 2024-01-17 |
2,056,599 | 1,955,989,715 | 77,862,447 | 4 | Nothing to complain about, but nothing exceptional. | Product Quality | Neutral | 2023-12-27 |
2,265,740 | 3,459,500,455 | 16,379,942 | 4 | Great prices and fast delivery! | Customer Service | Positive | 2023-12-18 |
2,438,008 | 5,953,376,503 | 79,169,760 | 5 | Customer service was very helpful. | Customer Service | Positive | 2024-05-25 |
7,517,891 | 121,874,867 | 94,529,626 | 5 | Overall good experience, thank you! | Delivery | Positive | 2023-03-28 |
5,506,466 | 2,460,545,397 | 42,872,865 | 3 | The product met my expectations. | Product Quality | Neutral | 2024-10-27 |
9,785,308 | 9,690,050,839 | 55,803,572 | 4 | The product met my expectations. | App Experience | Neutral | 2024-01-13 |
3,562,195 | 2,574,349,065 | 51,547,198 | 4 | Nothing to complain about, but nothing exceptional. | Customer Service | Neutral | 2024-04-17 |
1,736,546 | 2,461,936,988 | 14,428,954 | 5 | Overall good experience, thank you! | App Experience | Positive | 2023-07-20 |
8,067,827 | 6,447,596,416 | 76,987,910 | 4 | Good selection of products. | Customer Service | Positive | 2023-10-08 |
5,597,699 | 7,228,452,275 | 42,262,168 | 2 | Product was damaged during delivery. | App Experience | Negative | 2023-05-13 |
7,041,781 | 6,696,750,742 | 5,277,675 | 5 | Overall good experience, thank you! | App Experience | Positive | 2023-04-02 |
2,333,633 | 822,235,931 | 44,410,149 | 4 | Delivery was fine, but the product could be better. | Customer Service | Neutral | 2023-08-09 |
End of preview.
Blinkit Sales Dataset
Blinkit Sales Data: Analyzing Trends and Consumer Behavior
Dataset Info
- Source: Kaggle
- Original Size: 1.10 MB
- Kaggle Downloads: 17,064
- Files: 11
Files
Category_Icons.xlsxRating_Icon.xlsxblinkit_customer_feedback.csvblinkit_customers.csvblinkit_delivery_performance.csvblinkit_inventory.csvblinkit_inventoryNew.csvblinkit_marketing_performance.csvblinkit_order_items.csvblinkit_orders.csvblinkit_products.csv
Mirrored from Kaggle
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