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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 ({'question', 'category', 'core_model_name', 'scenario_description', 'conversations', 'use_case_model_name', 'message_evidences', 'conversation_length', 'personId', 'answer'}) and 2 missing columns ({'checkpoint', 'evidence_items'}).
This happened while the json dataset builder was generating data using
hf://datasets/wonbin-tw/mem-test/testset/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (at revision 10830206769b59e6df54d9d1a597328b40ad4f98), [/tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json)]
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 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
question: string
answer: string
message_evidences: struct<id: string, speaker: string, text: string>
child 0, id: string
child 1, speaker: string
child 2, text: string
conversations: struct<containsEvidence: bool, id: string, messages: list<item: struct<id: string, speaker: string, (... 35 chars omitted)
child 0, containsEvidence: bool
child 1, id: string
child 2, messages: list<item: struct<id: string, speaker: string, text: string>>
child 0, item: struct<id: string, speaker: string, text: string>
child 0, id: string
child 1, speaker: string
child 2, text: string
child 3, model_name: string
category: string
scenario_description: string
personId: string
use_case_model_name: string
core_model_name: string
conversation_length: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1408
to
{'evidence_items': {'answer': Value('string'), 'category': Value('string'), 'conversations': List({'containsEvidence': Value('bool'), 'id': Value('string'), 'messages': List({'speaker': Value('string'), 'text': Value('string')}), 'model_name': Value('string')}), 'core_model_name': Value('string'), 'message_evidences': List({'speaker': Value('string'), 'text': Value('string')}), 'personId': Value('string'), 'question': Value('string'), 'scenario_description': Value('string'), 'use_case_model_name': Value('string')}, 'checkpoint': 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 1736, 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 1889, 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 ({'question', 'category', 'core_model_name', 'scenario_description', 'conversations', 'use_case_model_name', 'message_evidences', 'conversation_length', 'personId', 'answer'}) and 2 missing columns ({'checkpoint', 'evidence_items'}).
This happened while the json dataset builder was generating data using
hf://datasets/wonbin-tw/mem-test/testset/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (at revision 10830206769b59e6df54d9d1a597328b40ad4f98), [/tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/evidence/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/evidence/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/154abccb-c6b1-46b5-a1ae-56f2ca0fa3ac_Technical_Support_Engineer_Tier_2.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/filler/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/filler/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/419774f1-7859-4431-bc6d-1b77e6d51b01_Small_Business_Owner.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/581a7aa3-5c47-4995-98b8-bfc97915f8b5_Marketing_Coordinator_at_a_NonProfit.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/639b1360-a1f6-4877-81eb-5d5179ac8eb2_University_Admissions_Officer.json), /tmp/hf-datasets-cache/medium/datasets/68261666118023-config-parquet-and-info-wonbin-tw-mem-test-5846fd88/hub/datasets--wonbin-tw--mem-test/snapshots/10830206769b59e6df54d9d1a597328b40ad4f98/testset/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json (origin=hf://datasets/wonbin-tw/mem-test@10830206769b59e6df54d9d1a597328b40ad4f98/testset/68038726-872d-44fa-9171-17e62faaa585_IT_Director_at_a_MidSized_Company.json)]
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.
evidence_items dict | checkpoint string |
|---|---|
{
"answer": "The ticket number for the escalated network security case was TKT-SEC-783391.",
"category": "Professional Life",
"conversations": [
{
"containsEvidence": true,
"id": "d9b38ca2-9a4d-4e66-ad99-bc33bbc774bc",
"messages": [
{
"speaker": "User",
"text": "M... | 76b316065e04330e72a776ba5ef69b2a4b9eda95 |
{
"answer": "The VIP customer from the financial sector you handled was Ms. Eleanor Vance.",
"category": "Professional Life",
"conversations": [
{
"containsEvidence": true,
"id": "13acb518-811a-4e52-afc7-ad6d1e2ca8ac",
"messages": [
{
"speaker": "User",
"text": "H... | 76b316065e04330e72a776ba5ef69b2a4b9eda95 |
{
"answer": "The malicious IP address you noted for the incident report yesterday was 198.51.100.72.",
"category": "Professional Life",
"conversations": [
{
"containsEvidence": true,
"id": "daa4ee5c-bedc-4911-83f5-93683daec8ce",
"messages": [
{
"speaker": "User",
... | 76b316065e04330e72a776ba5ef69b2a4b9eda95 |
{
"answer": "The Tier 3 specialist for Oracle database escalations is Maria Garcia.",
"category": "Professional Life",
"conversations": [
{
"containsEvidence": true,
"id": "02f5599b-cf9f-4d77-ad80-a651d6d9dd7b",
"messages": [
{
"speaker": "User",
"text": "Morning.... | 76b316065e04330e72a776ba5ef69b2a4b9eda95 |
{
"answer": "The ID for the knowledge base article about the v2.4 server memory leak is KB-78451-A2.",
"category": "Professional Life",
"conversations": [
{
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End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Temp repository.
This is for storing data to test AI assistant's memory ability.
Original data is from Salesforce/ConvoMem
Test cases(conversation length):
- "Marketing Coordinator": 20064
- "University Admissions Officer": 19347
- "Small Business Owner": 20181
- "IT Director": 20250
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