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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'inform' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'inform' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'inform' with no child field to Parquet. Consider adding a dummy child field.
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 1529, 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 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, 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.
goal dict | data_split string | turns list | original_id string | dialogue_id string | dataset string | domains sequence |
|---|---|---|---|---|---|---|
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 32,
"intent": "inform",
"slot": "date.showing",
"start": 25,
"value": "tonight"
},
... | dlg-bca5ce0a-056f-446e-be94-3ba77b32a84f | tm3-train-0 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 46,
"intent": "inform",
"slot": "date.showing",
"start": 39,
"value": "tonight"
},
... | dlg-c9064676-75fe-4d0a-83c2-497e1f2115a6 | tm3-train-1 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 41,
"intent": "inform",
"slot": "date.showing",
"start": 34,
"value": "tonight"
},
... | dlg-f7500bcf-472c-48c3-adfd-e4ec9f63bcf1 | tm3-train-2 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 48,
"intent": "inform",
"slot": "date.showing",
"start": 41,
"value": "tonight"
},
... | dlg-df1f0d45-27f2-4fb0-8aaa-b6b5f5a843bb | tm3-train-3 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: Pretend you’re *using a digital assistant to purchase tickets for a movie currently showing in theaters*. {{LIST The entire conversation needs to follow the structure given below *in the TASK section*., You already know which movie you want to see as well as all the details (which you can... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 90,
"intent": "inform",
"slot": "name.theater",
"start": 75,
"value": "Mountain AMC 16"
},
... | dlg-6086332d-a1a6-4acf-a3a5-4237a90a4ad2 | tm3-train-4 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: Pretend you’re *using a digital assistant to purchase tickets for a movie currently showing in theaters*. {{LIST The entire conversation needs to follow the structure given below *in the TASK section*., You already know which movie you want to see as well as all the details (which you can... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 20,
"intent": "inform",
"slot": "num.tickets",
"start": 9,
"value": "two tickets"
},
... | dlg-f15a36b2-3c86-4397-9b71-76b70908dc8e | tm3-train-5 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: Pretend you’re *using a digital assistant to purchase tickets for a movie currently showing in theaters*. {{LIST The entire conversation needs to follow the structure given below *in the TASK section*., You already know which movie you want to see as well as all the details (which you can... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": []
},
"speaker": "user",
"state": {
"movie": {
"date.release": "",
"date.showing": "",
"duration.movie": "",
"location": "",
"name.characte... | dlg-e7b03004-d331-4540-9487-b43131eaec28 | tm3-train-6 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: Pretend you’re *using a digital assistant to purchase tickets for a movie currently showing in theaters*. {{LIST The entire conversation needs to follow the structure given below *in the TASK section*., You already know which movie you want to see as well as all the details (which you can... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 30,
"intent": "inform",
"slot": "time.preference",
"start": 25,
"value": "3 p.m"
},
... | dlg-f971a49c-8289-4918-a328-ae7f6ac6b21a | tm3-train-7 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 41,
"intent": "inform",
"slot": "name.theater",
"start": 26,
"value": "AMC Mountain 16"
}
... | dlg-3df5f971-6025-47be-9f73-65ec676acb8b | tm3-train-8 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 68,
"intent": "inform",
"slot": "name.theater",
"start": 53,
"value": "AMC Mountain 16"
}
... | dlg-e255c743-b8a0-4e53-9590-3fc2fde3142d | tm3-train-9 | tm3 | [
"movie"
] |
{
"description": "SCENARIO: In the conversation below, a customer is talking to a booking agent to purchase movie tickets. However, the customer’s turns are missing. The details mentioned (theater names, cities, etc.) do NOT necessarily reflect real life, but you should pretend they are real for the purposes of this ... | train | [
{
"db_results": null,
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "movie",
"end": 39,
"intent": "inform",
"slot": "date.showing",
"start": 32,
"value": "tonight"
},
... | dlg-429e003a-3b72-4d19-8f4f-18af3a7f8b11 | tm3-train-10 | tm3 | [
"movie"
] |
End of preview.