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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
list<item: struct<x: double, y: double, width: double, height: double>>
to
{'x': Value('float64'), 'y': Value('float64'), 'width': Value('float64'), 'height': Value('float64')}
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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2011, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
list<item: struct<x: double, y: double, width: double, height: double>>
to
{'x': Value('float64'), 'y': Value('float64'), 'width': Value('float64'), 'height': Value('float64')}
The above exception was the direct cause of the following exception:
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 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
split string | id string | annot_id string | action_uid string | website string | domain string | subdomain string | task string | img_url string | img_size list | step_id int64 | step dict | step_repr string | step_history list | repr_history list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
train | mind2web_0 | e7e1616e-dd5f-4eb4-a7f1-b757c7880877 | fbfa94eb-b0f2-40b4-a0ec-c95ea564d036 | espn | Entertainment | Sports | Look up the scores for the previous day's NBA games | e7e1616e-dd5f-4eb4-a7f1-b757c7880877-fbfa94eb-b0f2-40b4-a0ec-c95ea564d036.jpg | [
1280,
720
] | 0 | {
"action_uid": "fbfa94eb-b0f2-40b4-a0ec-c95ea564d036",
"operation": {
"original_op": "HOVER",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"6959\", \"bounding_box_rect\": \"188.90625,66,38.796875,43\", \"name\": \"&lpos=sitena... | [link] NBA -> HOVER | [] | [] |
train | mind2web_1 | e7e1616e-dd5f-4eb4-a7f1-b757c7880877 | 8450177b-97fb-4355-8b95-ac90354952fa | espn | Entertainment | Sports | Look up the scores for the previous day's NBA games | e7e1616e-dd5f-4eb4-a7f1-b757c7880877-8450177b-97fb-4355-8b95-ac90354952fa.jpg | [
1280,
720
] | 1 | {
"action_uid": "8450177b-97fb-4355-8b95-ac90354952fa",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46982\", \"bounding_box_rect\": \"198.90625,157.796875,200,40.796875\", \"name\": \"&l... | [link] Scores -> CLICK | [
{
"action_uid": "fbfa94eb-b0f2-40b4-a0ec-c95ea564d036",
"operation": {
"original_op": "HOVER",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"6959\", \"bounding_box_rect\": \"188.90625,66,38.796875,43\", ... | [
"[link] NBA -> HOVER"
] |
train | mind2web_2 | e7e1616e-dd5f-4eb4-a7f1-b757c7880877 | c14eedcb-631e-4226-a163-698ee94a5047 | espn | Entertainment | Sports | Look up the scores for the previous day's NBA games | e7e1616e-dd5f-4eb4-a7f1-b757c7880877-c14eedcb-631e-4226-a163-698ee94a5047.jpg | [
1280,
720
] | 2 | {
"action_uid": "c14eedcb-631e-4226-a163-698ee94a5047",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "span",
"attributes": "{\"backend_node_id\": \"62559\", \"bounding_box_rect\": \"331,338.53125,28,14\", \"class\": \"Day__Name\", ... | [span] Mon -> CLICK | [
{
"action_uid": "fbfa94eb-b0f2-40b4-a0ec-c95ea564d036",
"operation": {
"original_op": "HOVER",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"6959\", \"bounding_box_rect\": \"188.90625,66,38.796875,43\", ... | [
"[link] NBA -> HOVER",
"[link] Scores -> CLICK"
] |
train | mind2web_3 | cc174cb2-520d-49c3-93da-f93a1c485c03 | 48077a71-0bd3-484d-8f19-596861e7e8fb | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-48077a71-0bd3-484d-8f19-596861e7e8fb.jpg | [
1280,
720
] | 0 | {
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \"class\": \"m-menu--desk... | [button] Fares -> CLICK | [] | [] |
train | mind2web_4 | cc174cb2-520d-49c3-93da-f93a1c485c03 | 77d2fade-b9c9-46c2-b41b-81e8bc671d15 | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-77d2fade-b9c9-46c2-b41b-81e8bc671d15.jpg | [
1280,
720
] | 1 | {
"action_uid": "77d2fade-b9c9-46c2-b41b-81e8bc671d15",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"8987\", \"bounding_box_rect\": \"160,117.84375,228,36.390625\", \"class\": \"m-menu__l... | [link] Fares Overview -> CLICK | [
{
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \... | [
"[button] Fares -> CLICK"
] |
train | mind2web_5 | cc174cb2-520d-49c3-93da-f93a1c485c03 | 5df6fedf-afb3-4095-b06a-c9a3317e485a | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-5df6fedf-afb3-4095-b06a-c9a3317e485a.jpg | [
1280,
720
] | 2 | {
"action_uid": "5df6fedf-afb3-4095-b06a-c9a3317e485a",
"operation": {
"original_op": "TYPE",
"value": "south station",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"16991\", \"bounding_box_rect\": \"867,407.1875,214,32\", \"type\": \"te... | [combobox] Enter a location -> TYPE: south station | [
{
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \... | [
"[button] Fares -> CLICK",
"[link] Fares Overview -> CLICK"
] |
train | mind2web_6 | cc174cb2-520d-49c3-93da-f93a1c485c03 | 9fd3a843-608c-4ab6-9bd2-3adee3a14559 | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-9fd3a843-608c-4ab6-9bd2-3adee3a14559.jpg | [
1280,
720
] | 3 | {
"action_uid": "9fd3a843-608c-4ab6-9bd2-3adee3a14559",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"26409\", \"bounding_box_rect\": \"852.546875,454.1875,234,50\", \"class\": \"js-search... | [link] T red line silver line commuter rail Zone 1A Sout... -> CLICK | [
{
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \... | [
"[button] Fares -> CLICK",
"[link] Fares Overview -> CLICK",
"[combobox] Enter a location -> TYPE: south station"
] |
train | mind2web_7 | cc174cb2-520d-49c3-93da-f93a1c485c03 | dde39bfa-ddfb-4dab-91e3-1f242a32d253 | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-dde39bfa-ddfb-4dab-91e3-1f242a32d253.jpg | [
1280,
720
] | 4 | {
"action_uid": "dde39bfa-ddfb-4dab-91e3-1f242a32d253",
"operation": {
"original_op": "TYPE",
"value": "north station",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"36059\", \"bounding_box_rect\": \"864,501.1875,217,32\", \"type\": \"te... | [combobox] Enter a location -> TYPE: north station | [
{
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \... | [
"[button] Fares -> CLICK",
"[link] Fares Overview -> CLICK",
"[combobox] Enter a location -> TYPE: south station",
"[link] T red line silver line commuter rail Zone 1A Sout... -> CLICK"
] |
train | mind2web_8 | cc174cb2-520d-49c3-93da-f93a1c485c03 | 9d6b2e4b-880a-40d0-ac9d-3f9fdcb3e7eb | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-9d6b2e4b-880a-40d0-ac9d-3f9fdcb3e7eb.jpg | [
1280,
720
] | 5 | {
"action_uid": "9d6b2e4b-880a-40d0-ac9d-3f9fdcb3e7eb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"45484\", \"bounding_box_rect\": \"853.421875,548.1875,234,50\", \"class\": \"js-search... | [link] T orange line green line D green line E commuter ... -> CLICK | [
{
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \... | [
"[button] Fares -> CLICK",
"[link] Fares Overview -> CLICK",
"[combobox] Enter a location -> TYPE: south station",
"[link] T red line silver line commuter rail Zone 1A Sout... -> CLICK",
"[combobox] Enter a location -> TYPE: north station"
] |
train | mind2web_9 | cc174cb2-520d-49c3-93da-f93a1c485c03 | 9dc761aa-1a13-4905-a922-726a3f469738 | mbta | Travel | Ground | Calculate the fare options to go from the south station to the north station | cc174cb2-520d-49c3-93da-f93a1c485c03-9dc761aa-1a13-4905-a922-726a3f469738.jpg | [
1280,
720
] | 6 | {
"action_uid": "9dc761aa-1a13-4905-a922-726a3f469738",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "button",
"attributes": "{\"backend_node_id\": \"55161\", \"bounding_box_rect\": \"836,556.1875,268,45.1875\", \"id\": \"trip-plan... | [button] Calculate my fare -> CLICK | [
{
"action_uid": "48077a71-0bd3-484d-8f19-596861e7e8fb",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "a",
"attributes": "{\"backend_node_id\": \"46\", \"bounding_box_rect\": \"480,18.296875,85,35.390625\", \... | [
"[button] Fares -> CLICK",
"[link] Fares Overview -> CLICK",
"[combobox] Enter a location -> TYPE: south station",
"[link] T red line silver line commuter rail Zone 1A Sout... -> CLICK",
"[combobox] Enter a location -> TYPE: north station",
"[link] T orange line green line D green line E commute... |
train | mind2web_10 | c95ac388-3fea-457d-bb5d-fede3785c6f6 | dcdc1299-4778-4bab-934b-25b7f85f4e65 | travelzoo | Travel | General | Show me hotels in New York city to stay in during spring | c95ac388-3fea-457d-bb5d-fede3785c6f6-dcdc1299-4778-4bab-934b-25b7f85f4e65.jpg | [
1280,
720
] | 0 | {
"action_uid": "dcdc1299-4778-4bab-934b-25b7f85f4e65",
"operation": {
"original_op": "TYPE",
"value": "New York City",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"120\", \"bounding_box_rect\": \"649.984375,140,504.484375,60\", \"id\":... | [textbox] Where? -> TYPE: New York City | [] | [] |
train | mind2web_11 | c95ac388-3fea-457d-bb5d-fede3785c6f6 | 90c6af14-70ab-4b7d-962e-c01741f97a29 | travelzoo | Travel | General | Show me hotels in New York city to stay in during spring | c95ac388-3fea-457d-bb5d-fede3785c6f6-90c6af14-70ab-4b7d-962e-c01741f97a29.jpg | [
1280,
720
] | 1 | {
"action_uid": "90c6af14-70ab-4b7d-962e-c01741f97a29",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "li",
"attributes": "{\"backend_node_id\": \"8226\", \"bounding_box_rect\": \"643.5,293,495.46875,37\", \"class\": \"ui-menu-item\... | [div] New York City, NY -> CLICK | [
{
"action_uid": "dcdc1299-4778-4bab-934b-25b7f85f4e65",
"operation": {
"original_op": "TYPE",
"value": "New York City",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"120\", \"bounding_box_rect\": \"649.984375,140,... | [
"[textbox] Where? -> TYPE: New York City"
] |
train | mind2web_12 | c95ac388-3fea-457d-bb5d-fede3785c6f6 | e4e44d28-113f-4bfb-b728-767731f4cab0 | travelzoo | Travel | General | Show me hotels in New York city to stay in during spring | c95ac388-3fea-457d-bb5d-fede3785c6f6-e4e44d28-113f-4bfb-b728-767731f4cab0.jpg | [
1280,
720
] | 2 | {
"action_uid": "e4e44d28-113f-4bfb-b728-767731f4cab0",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"9606\", \"bounding_box_rect\": \"750,20,250,40\", \"id\": \"when-field-1\", \"type... | [textbox] When? -> CLICK | [
{
"action_uid": "dcdc1299-4778-4bab-934b-25b7f85f4e65",
"operation": {
"original_op": "TYPE",
"value": "New York City",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"120\", \"bounding_box_rect\": \"649.984375,140,... | [
"[textbox] Where? -> TYPE: New York City",
"[div] New York City, NY -> CLICK"
] |
train | mind2web_13 | c95ac388-3fea-457d-bb5d-fede3785c6f6 | d468c98a-de53-4b08-b5d4-d7fd7df98ef9 | travelzoo | Travel | General | Show me hotels in New York city to stay in during spring | c95ac388-3fea-457d-bb5d-fede3785c6f6-d468c98a-de53-4b08-b5d4-d7fd7df98ef9.jpg | [
1280,
720
] | 3 | {
"action_uid": "d468c98a-de53-4b08-b5d4-d7fd7df98ef9",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "li",
"attributes": "{\"backend_node_id\": \"24447\", \"bounding_box_rect\": \"597.5,101,64,37\", \"data_pw_testid_buckeye_candida... | [li] Spring -> CLICK | [
{
"action_uid": "dcdc1299-4778-4bab-934b-25b7f85f4e65",
"operation": {
"original_op": "TYPE",
"value": "New York City",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"120\", \"bounding_box_rect\": \"649.984375,140,... | [
"[textbox] Where? -> TYPE: New York City",
"[div] New York City, NY -> CLICK",
"[textbox] When? -> CLICK"
] |
train | mind2web_14 | c95ac388-3fea-457d-bb5d-fede3785c6f6 | cbfcbc6c-9ccd-4e7f-8376-6ec56fbf2469 | travelzoo | Travel | General | Show me hotels in New York city to stay in during spring | c95ac388-3fea-457d-bb5d-fede3785c6f6-cbfcbc6c-9ccd-4e7f-8376-6ec56fbf2469.jpg | [
1280,
720
] | 4 | {
"action_uid": "cbfcbc6c-9ccd-4e7f-8376-6ec56fbf2469",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
{
"tag": "button",
"attributes": "{\"backend_node_id\": \"39241\", \"bounding_box_rect\": \"1010,20,40,40\", \"id\": \"search-button-1\", \... | [button] SEARCH DEALS -> CLICK | [
{
"action_uid": "dcdc1299-4778-4bab-934b-25b7f85f4e65",
"operation": {
"original_op": "TYPE",
"value": "New York City",
"op": "TYPE"
},
"pos_candidates": [
{
"tag": "input",
"attributes": "{\"backend_node_id\": \"120\", \"bounding_box_rect\": \"649.984375,140,... | [
"[textbox] Where? -> TYPE: New York City",
"[div] New York City, NY -> CLICK",
"[textbox] When? -> CLICK",
"[li] Spring -> CLICK"
] |
train | mind2web_15 | d9c160e7-b179-4d42-8570-e6f3f85aa412 | c05241f0-b26e-40df-b388-6067f69ff404 | travelzoo | Travel | General | Find the highest-rated adults-only romantic beach vacation deals and book the cheapest one. | d9c160e7-b179-4d42-8570-e6f3f85aa412-c05241f0-b26e-40df-b388-6067f69ff404.jpg | [
1280,
720
] | 0 | {
"action_uid": "c05241f0-b26e-40df-b388-6067f69ff404",
"operation": {
"original_op": "CLICK",
"value": "",
"op": "CLICK"
},
"pos_candidates": [
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