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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 2 new columns ({'image_path', 'status'})
This happened while the json dataset builder was generating data using
hf://datasets/bluecopa/dextr-paddleocr-bboxes/paddleocr_all.jsonl (at revision c936c08265ce56056c6ca2005a1a12dadb4411ac)
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
doc_id: string
image_path: string
words: list<item: struct<text: string, bbox: list<item: int64>>>
child 0, item: struct<text: string, bbox: list<item: int64>>
child 0, text: string
child 1, bbox: list<item: int64>
child 0, item: int64
image_width: int64
image_height: int64
status: string
to
{'doc_id': Value('string'), 'words': List({'text': Value('string'), 'bbox': List(Value('int64'))}), 'image_width': Value('int64'), 'image_height': Value('int64')}
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 1339, 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 972, 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 2 new columns ({'image_path', 'status'})
This happened while the json dataset builder was generating data using
hf://datasets/bluecopa/dextr-paddleocr-bboxes/paddleocr_all.jsonl (at revision c936c08265ce56056c6ca2005a1a12dadb4411ac)
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.
doc_id string | words list | image_width int64 | image_height int64 |
|---|---|---|---|
receipt_cord_00481 | [
{
"text": "1517-ROTI",
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{
"text": "KENTANG",
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},
{
"text": "KEJU",
"bbox": [
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]
},
{
"text": "MANIS",
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{
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{
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{
"text": "12.000",
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receipt_cord_00095 | [
{
"text": "Auntie",
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},
{
"text": "Anne's",
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]
},
{
"text": "ORIGINAL",
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]
},
{
"text": "NO",
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... | 576 | 864 |
receipt_cord_00321 | [
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"text": "|",
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},
{
"text": "Item",
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{
"text": "|",
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]
},
{
"text": "Description",
"bbox": [
... | 960 | 1,706 |
receipt_cord_00403 | [
{
"text": "<table><tr><td>1",
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},
{
"text": "CHOCO",
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},
{
"text": "CORONET</td><td>15,500</td></tr></table>",
"bbox": [
109,
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... | 864 | 1,296 |
receipt_cord_00448 | [
{
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{
"text": "Item",
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{
"text": "|",
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]
},
{
"text": "Description",
"bbox": [... | 1,108 | 1,478 |
receipt_cord_00437 | [
{
"text": "4808539",
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]
},
{
"text": "TALKING",
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},
{
"text": "ACTIVITY",
"bbox": [
316,
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629,
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]
},
{
"text": "BK",
"bbox":... | 819 | 1,088 |
receipt_cord_00280 | [
{
"text": "COME",
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]
},
{
"text": "AND",
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120,
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]
},
{
"text": "GO",
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120,
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]
},
{
"text": "HERE",
"bbox": [
120,... | 576 | 864 |
receipt_cord_00178 | [
{
"text": "LA12392NVS",
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},
{
"text": "GARISH",
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]
},
{
"text": "PC",
"bbox": [
45,
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]
},
{
"text": "HP66000",
"bbox": ... | 864 | 1,296 |
receipt_cord_00292 | [
{
"text": "No.",
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]
},
{
"text": ":",
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},
{
"text": "20000",
"bbox": [
650,
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]
},
{
"text": "Name",
"bbox": [
1... | 864 | 1,296 |
receipt_cord_00047 | [
{
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]
},
{
"text": "Item",
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},
{
"text": "|",
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]
},
{
"text": "Amount",
"bbox": [
97,
... | 864 | 1,296 |
receipt_cord_00235 | [
{
"text": "2X",
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},
{
"text": "1,200",
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},
{
"text": "NS",
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]
},
{
"text": "MINI",
"bbox": [
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... | 864 | 1,296 |
receipt_cord_00100 | [] | 2,304 | 4,096 |
receipt_cord_00085 | [
{
"text": "CUM",
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]
},
{
"text": "BLOCK",
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]
},
{
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]
},
{
"text": "Item",
"bbox": [
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receipt_cord_00266 | [
{
"text": "1",
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]
},
{
"text": "UDANG",
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]
},
{
"text": "REBUS",
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]
},
{
"text": "(M)",
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... | 1,108 | 1,478 |
receipt_cord_00193 | [
{
"text": "BAK",
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},
{
"text": "MANDI",
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},
{
"text": "(BAK",
"bbox": [
17,
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]
},
{
"text": "MANDI",
"bbox": [
... | 681 | 1,280 |
receipt_cord_00372 | [
{
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},
{
"text": "Mini",
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{
"text": "(NAM)",
"bbox": [
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},
{
"text": "1x",
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... | 864 | 1,296 |
receipt_cord_00066 | [] | 2,304 | 4,096 |
receipt_cord_00430 | [
{
"text": "4005-Maple",
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]
},
{
"text": "glazed",
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},
{
"text": "25.000",
"bbox": [
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]
},
{
"text": "x1",
"bbox": ... | 864 | 1,296 |
receipt_cord_00092 | [
{
"text": "ORIGINAL",
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]
},
{
"text": "·",
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},
{
"text": "12,000",
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]
},
{
"text": "APPLE",
"bbox": [
... | 864 | 1,296 |
receipt_cord_00226 | [
{
"text": "PKT",
"bbox": [
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},
{
"text": "TELUR/PERKEDEL",
"bbox": [
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},
{
"text": "26,000",
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},
{
"text": "DENDENG",
... | 864 | 1,296 |
receipt_cord_00216 | [
{
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},
{
"text": "1",
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},
{
"text": "CAPPUCINO",
"bbox": [
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]
},
{
"text": "CARAMEL",
"bbox": [
... | 576 | 864 |
receipt_cord_00349 | [
{
"text": "GONG",
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},
{
"text": "GIBAB",
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},
{
"text": "1",
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},
{
"text": "20,000",
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receipt_cord_00025 | [
{
"text": "CRISPY",
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{
"text": "CHOCO",
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{
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},
{
"text": "14,000",
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receipt_cord_00090 | [
{
"text": "Auntie",
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{
"text": "Anne's",
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{
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},
{
"text": "CHOCO",
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receipt_cord_00412 | [
{
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{
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{
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receipt_cord_00461 | [
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{
"text": "Description",
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receipt_cord_00113 | [
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{
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... | 864 | 1,296 |
receipt_cord_00231 | [] | 2,304 | 4,096 |
receipt_cord_00428 | [
{
"text": "款",
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{
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{
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},
{
"text": "50.00",
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receipt_cord_00223 | [
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{
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{
"text... | 1,108 | 1,478 |
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{
"text": "123456789",
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receipt_cord_00308 | [
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{
"text": "Description",
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receipt_cord_00027 | [
{
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{
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{
"text": "MEGA",
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receipt_cord_00305 | [
{
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{
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{
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{
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8... | 576 | 864 |
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{
"text": "Hokkaido",
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{
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{
"text": "Description",
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... | 576 | 864 |
receipt_cord_00201 | [
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},
{
"text": "Quantity",
"bbox": [
... | 864 | 1,296 |
receipt_cord_00289 | [
{
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},
{
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},
{
"text": "NASI",
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]
},
{
"text": "GORENG",
"bbox": [
... | 720 | 1,280 |
receipt_cord_00484 | [
{
"text": "Dinepes",
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},
{
"text": "Dinees",
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{
"text": "Factured",
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]
},
{
"text": "Dinees",
"bbo... | 576 | 864 |
receipt_cord_00031 | [
{
"text": "|",
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{
"text": "|",
"bbox": [
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]
},
{
"text": "Quantity",
"bbox": [
78... | 576 | 864 |
receipt_cord_00359 | [
{
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},
{
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... | 1,836 | 3,264 |
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