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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
attribution: string
canonical_call: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
content_checksum: string
context: struct<ancestor_ids: list<item: string>, context_instance: string, fixture_id: string, named_color_m (... 272 chars omitted)
child 0, ancestor_ids: list<item: string>
child 0, item: string
child 1, context_instance: string
child 2, fixture_id: string
child 3, named_color_mapping: string
child 4, nearby_nodes: string
child 5, nearby_sibling_ids: list<item: string>
child 0, item: string
child 6, page_family: string
child 7, revision: int64
child 8, selected_node: struct<background: string, child_ids: list<item: string>, element_role: string, parent_id: string, t (... 12 chars omitted)
child 0, background: string
child 1, child_ids: list<item: string>
child 0, item: string
child 2, element_role: string
child 3, parent_id: string
child 4, text: string
child 9, selected_target_id: string
context_fingerprint: string
expected: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
fixture_id: string
fixture_state: struct<ancestor_ids: list<item: string>, fixture_id: string, history: list<item: string>, named_colo (... 158 chars omitted)
child 0, ancestor_ids: list<item: string>
child 0, item: string
child 1, fixture_id: string
child 2, history: list<item: string>
child 0, item: string
child 3, n
...
child 2, element_role: string
child 3, parent_id: string
child 4, text: string
child 4, semantic_slots: string
child 5, site_name: string
child 3, result_family: string
child 4, risk_state: string
child 5, supported_property: string
child 6, target_relation: string
child 7, value_state: string
semantic_family_input_sha256: string
semantic_slots: string
source_record_id: string
source_split: string
split: string
split_group_id: string
task_stratum: string
tools: list<item: struct<function: struct<description: string, name: string, parameters: struct<additionalP (... 97 chars omitted)
child 0, item: struct<function: struct<description: string, name: string, parameters: struct<additionalProperties: (... 85 chars omitted)
child 0, function: struct<description: string, name: string, parameters: struct<additionalProperties: bool, properties: (... 53 chars omitted)
child 0, description: string
child 1, name: string
child 2, parameters: struct<additionalProperties: bool, properties: string, required: list<item: string>, type: string>
child 0, additionalProperties: bool
child 1, properties: string
child 2, required: list<item: string>
child 0, item: string
child 3, type: string
child 1, type: string
transformation_rule: string
transformation_seed: int64
upstream_revision: string
utterance_source_family: string
user: null
to
{'attribution': Value('string'), 'canonical_call': {'arguments': Json(decode=True), 'name': Value('string')}, 'content_checksum': Value('string'), 'context': {'ancestor_ids': List(Value('string')), 'context_instance': Value('string'), 'fixture_id': Value('string'), 'named_color_mapping': Json(decode=True), 'nearby_nodes': Json(decode=True), 'nearby_sibling_ids': List(Value('string')), 'page_family': Value('string'), 'revision': Value('int64'), 'selected_node': {'background': Value('string'), 'child_ids': List(Value('string')), 'element_role': Value('string'), 'parent_id': Value('string'), 'text': Value('string')}, 'selected_target_id': Value('string')}, 'context_fingerprint': Value('string'), 'expected': {'arguments': Json(decode=True), 'name': Value('string')}, 'fixture_id': Value('string'), 'fixture_state': {'ancestor_ids': List(Value('string')), 'fixture_id': Value('string'), 'history': List(Value('string')), 'named_color_mapping': Json(decode=True), 'nearby_sibling_ids': List(Value('string')), 'nodes': Json(decode=True), 'page_family': Value('string'), 'revision': Value('int64'), 'selected_target_id': Value('string'), 'site_name': Value('string')}, 'generator_version': Value('string'), 'id': Value('string'), 'license_class': Value('string'), 'messages': List(Json(decode=True)), 'model_paraphrase_provenance': Json(decode=True), 'model_paraphrase_slot': Value('string'), 'normalized_intent': Value('string'), 'output_call_sha256': Value('string'), 'page_family': Value('string
...
e('string'), 'result_family': Value('string'), 'reviewer_result': Value('string'), 'schema_version': Value('int64'), 'selected_target_id': Value('string'), 'semantic_family_id': Value('string'), 'semantic_family_input': {'context_relation': Value('string'), 'contrast_pair_id': Value('string'), 'fixture_transformation': {'element_role': Value('string'), 'page_family': Value('string'), 'rule': Value('string'), 'selected_before': {'background': Value('string'), 'child_ids': List(Value('string')), 'element_role': Value('string'), 'parent_id': Value('string'), 'text': Value('string')}, 'semantic_slots': Json(decode=True), 'site_name': Value('string')}, 'result_family': Value('string'), 'risk_state': Value('string'), 'supported_property': Value('string'), 'target_relation': Value('string'), 'value_state': Value('string')}, 'semantic_family_input_sha256': Value('string'), 'semantic_slots': Json(decode=True), 'source_record_id': Value('string'), 'source_split': Value('string'), 'split': Value('string'), 'split_group_id': Value('string'), 'task_stratum': Value('string'), 'tools': List({'function': {'description': Value('string'), 'name': Value('string'), 'parameters': {'additionalProperties': Value('bool'), 'properties': Json(decode=True), 'required': List(Value('string')), 'type': Value('string')}}, 'type': Value('string')}), 'transformation_rule': Value('string'), 'transformation_seed': Value('int64'), 'upstream_revision': Value('string'), 'utterance_source_family': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
attribution: string
canonical_call: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
content_checksum: string
context: struct<ancestor_ids: list<item: string>, context_instance: string, fixture_id: string, named_color_m (... 272 chars omitted)
child 0, ancestor_ids: list<item: string>
child 0, item: string
child 1, context_instance: string
child 2, fixture_id: string
child 3, named_color_mapping: string
child 4, nearby_nodes: string
child 5, nearby_sibling_ids: list<item: string>
child 0, item: string
child 6, page_family: string
child 7, revision: int64
child 8, selected_node: struct<background: string, child_ids: list<item: string>, element_role: string, parent_id: string, t (... 12 chars omitted)
child 0, background: string
child 1, child_ids: list<item: string>
child 0, item: string
child 2, element_role: string
child 3, parent_id: string
child 4, text: string
child 9, selected_target_id: string
context_fingerprint: string
expected: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
fixture_id: string
fixture_state: struct<ancestor_ids: list<item: string>, fixture_id: string, history: list<item: string>, named_colo (... 158 chars omitted)
child 0, ancestor_ids: list<item: string>
child 0, item: string
child 1, fixture_id: string
child 2, history: list<item: string>
child 0, item: string
child 3, n
...
child 2, element_role: string
child 3, parent_id: string
child 4, text: string
child 4, semantic_slots: string
child 5, site_name: string
child 3, result_family: string
child 4, risk_state: string
child 5, supported_property: string
child 6, target_relation: string
child 7, value_state: string
semantic_family_input_sha256: string
semantic_slots: string
source_record_id: string
source_split: string
split: string
split_group_id: string
task_stratum: string
tools: list<item: struct<function: struct<description: string, name: string, parameters: struct<additionalP (... 97 chars omitted)
child 0, item: struct<function: struct<description: string, name: string, parameters: struct<additionalProperties: (... 85 chars omitted)
child 0, function: struct<description: string, name: string, parameters: struct<additionalProperties: bool, properties: (... 53 chars omitted)
child 0, description: string
child 1, name: string
child 2, parameters: struct<additionalProperties: bool, properties: string, required: list<item: string>, type: string>
child 0, additionalProperties: bool
child 1, properties: string
child 2, required: list<item: string>
child 0, item: string
child 3, type: string
child 1, type: string
transformation_rule: string
transformation_seed: int64
upstream_revision: string
utterance_source_family: string
user: null
to
{'attribution': Value('string'), 'canonical_call': {'arguments': Json(decode=True), 'name': Value('string')}, 'content_checksum': Value('string'), 'context': {'ancestor_ids': List(Value('string')), 'context_instance': Value('string'), 'fixture_id': Value('string'), 'named_color_mapping': Json(decode=True), 'nearby_nodes': Json(decode=True), 'nearby_sibling_ids': List(Value('string')), 'page_family': Value('string'), 'revision': Value('int64'), 'selected_node': {'background': Value('string'), 'child_ids': List(Value('string')), 'element_role': Value('string'), 'parent_id': Value('string'), 'text': Value('string')}, 'selected_target_id': Value('string')}, 'context_fingerprint': Value('string'), 'expected': {'arguments': Json(decode=True), 'name': Value('string')}, 'fixture_id': Value('string'), 'fixture_state': {'ancestor_ids': List(Value('string')), 'fixture_id': Value('string'), 'history': List(Value('string')), 'named_color_mapping': Json(decode=True), 'nearby_sibling_ids': List(Value('string')), 'nodes': Json(decode=True), 'page_family': Value('string'), 'revision': Value('int64'), 'selected_target_id': Value('string'), 'site_name': Value('string')}, 'generator_version': Value('string'), 'id': Value('string'), 'license_class': Value('string'), 'messages': List(Json(decode=True)), 'model_paraphrase_provenance': Json(decode=True), 'model_paraphrase_slot': Value('string'), 'normalized_intent': Value('string'), 'output_call_sha256': Value('string'), 'page_family': Value('string
...
e('string'), 'result_family': Value('string'), 'reviewer_result': Value('string'), 'schema_version': Value('int64'), 'selected_target_id': Value('string'), 'semantic_family_id': Value('string'), 'semantic_family_input': {'context_relation': Value('string'), 'contrast_pair_id': Value('string'), 'fixture_transformation': {'element_role': Value('string'), 'page_family': Value('string'), 'rule': Value('string'), 'selected_before': {'background': Value('string'), 'child_ids': List(Value('string')), 'element_role': Value('string'), 'parent_id': Value('string'), 'text': Value('string')}, 'semantic_slots': Json(decode=True), 'site_name': Value('string')}, 'result_family': Value('string'), 'risk_state': Value('string'), 'supported_property': Value('string'), 'target_relation': Value('string'), 'value_state': Value('string')}, 'semantic_family_input_sha256': Value('string'), 'semantic_slots': Json(decode=True), 'source_record_id': Value('string'), 'source_split': Value('string'), 'split': Value('string'), 'split_group_id': Value('string'), 'task_stratum': Value('string'), 'tools': List({'function': {'description': Value('string'), 'name': Value('string'), 'parameters': {'additionalProperties': Value('bool'), 'properties': Json(decode=True), 'required': List(Value('string')), 'type': Value('string')}}, 'type': Value('string')}), 'transformation_rule': Value('string'), 'transformation_seed': Value('int64'), 'upstream_revision': Value('string'), 'utterance_source_family': Value('string')}
because column names don't match
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, 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.
attribution string | canonical_call dict | content_checksum string | context dict | context_fingerprint string | expected dict | fixture_id string | fixture_state dict | generator_version string | id string | license_class string | messages list | model_paraphrase_provenance unknown | model_paraphrase_slot string | normalized_intent string | output_call_sha256 string | page_family string | paraphrase_seed int64 | request string | result_family string | reviewer_result string | schema_version int64 | selected_target_id string | semantic_family_id string | semantic_family_input dict | semantic_family_input_sha256 string | semantic_slots unknown | source_record_id string | source_split string | split string | split_group_id string | task_stratum string | tools list | transformation_rule string | transformation_seed int64 | upstream_revision string | utterance_source_family string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Agency E14.4 experiment authors | {
"arguments": {
"reason": "text_already_set"
},
"name": "no_change"
} | d1ac889abae00d9bd5da5047304eb33807b8d6d5c42ea77d71a8ff5ae428a6b1 | {
"ancestor_ids": [
"node-aspen-albany-dental-section",
"node-aspen-albany-dental-page"
],
"context_instance": "context-train-00000",
"fixture_id": "fixture-aspen-albany-dental-heading",
"named_color_mapping": {
"orange": "#FFA500"
},
"nearby_nodes": {
"node-aspen-albany-dental-duplicate-l... | bd9572178bf53d1ebb1cf1de7b29746054c6a68ea3b99824fe287a7b03578732 | {
"arguments": {
"reason": "text_already_set"
},
"name": "no_change"
} | fixture-aspen-albany-dental-heading | {
"ancestor_ids": [
"node-aspen-albany-dental-section",
"node-aspen-albany-dental-page"
],
"fixture_id": "fixture-aspen-albany-dental-heading",
"history": [
"fixture_loaded"
],
"named_color_mapping": {
"orange": "#FFA500"
},
"nearby_sibling_ids": [
"node-aspen-albany-dental-nearby-si... | e14.4-scale-12800-v2.0.0 | v2-train-00000-v1 | repository-owned | [
{
"content": "Return exactly one function call for the selected element.",
"role": "developer"
},
{
"content": "Context: {\"ancestor_ids\":[\"node-aspen-albany-dental-section\",\"node-aspen-albany-dental-page\"],\"context_instance\":\"context-train-00000\",\"fixture_id\":\"fixture-aspen-albany-denta... | {
"attempt": 1,
"calls": [
{
"attempt": 1,
"cost_usd": 0.0000284,
"model": "google/gemini-2.5-flash-lite",
"usage": {
"completion_tokens": 43,
"prompt_tokens": 112,
"total_tokens": 155
}
}
],
"completion_tokens": 43,
"cost_usd": 0.0000284,
"model... | In Aspen Albany Dental, update the selected element's text to "Explore Aspen Albany Dental". | {"call":{"arguments":{"reason":"text_already_set"},"name":"no_change"},"target":"node-aspen-albany-dental-heading"} | 52380414e963047c93d9e9b0996f38b3a5e21bf3c1b55b13177114ee2f739976 | dental | 1,412,800 | In Aspen Albany Dental, update the selected element's text to "Explore Aspen Albany Dental". | no_change | programmatic_pass | 2 | node-aspen-albany-dental-heading | sf-7d7a2fb22eb18ca0ee2e | {
"context_relation": "selected_target",
"contrast_pair_id": "contrast-train-00000",
"fixture_transformation": {
"element_role": "dental-heading",
"page_family": "dental",
"rule": "base",
"selected_before": {
"background": "#FFA500",
"child_ids": [
"node-aspen-albany-dental-nes... | 7d7a2fb22eb18ca0ee2e5f43930004077e39ec9a950b8589da6b1c87fc0711fa | {
"property": "text",
"value": "Explore Aspen Albany Dental"
} | repo-repository_template_direct-00000 | scale-25600-reviewed-paraphrase | train | sg-train-00000 | text | [
{
"function": {
"description": "Set the selected element text.",
"name": "set_text",
"parameters": {
"additionalProperties": false,
"properties": {
"text": {
"type": "string"
}
},
"required": [
"text"
],
... | base | 1,412,800 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
"arguments": {
"reason": "text_already_set"
},
"name": "no_change"
} | c432ab642715e6c42c5d22b3d580347ad384624de215536fe3c7c494390052b1 | {
"ancestor_ids": [
"node-aspen-albany-dental-section",
"node-aspen-albany-dental-page"
],
"context_instance": "context-train-00000",
"fixture_id": "fixture-aspen-albany-dental-heading",
"named_color_mapping": {
"orange": "#FFA500"
},
"nearby_nodes": {
"node-aspen-albany-dental-duplicate-l... | bd9572178bf53d1ebb1cf1de7b29746054c6a68ea3b99824fe287a7b03578732 | {
"arguments": {
"reason": "text_already_set"
},
"name": "no_change"
} | fixture-aspen-albany-dental-heading | {
"ancestor_ids": [
"node-aspen-albany-dental-section",
"node-aspen-albany-dental-page"
],
"fixture_id": "fixture-aspen-albany-dental-heading",
"history": [
"fixture_loaded"
],
"named_color_mapping": {
"orange": "#FFA500"
},
"nearby_sibling_ids": [
"node-aspen-albany-dental-nearby-si... | e14.4-scale-12800-v2.0.0 | v2-train-00000-v2 | repository-owned | [
{
"content": "Return exactly one function call for the selected element.",
"role": "developer"
},
{
"content": "Context: {\"ancestor_ids\":[\"node-aspen-albany-dental-section\",\"node-aspen-albany-dental-page\"],\"context_instance\":\"context-train-00000\",\"fixture_id\":\"fixture-aspen-albany-denta... | {
"attempt": 1,
"calls": [
{
"attempt": 1,
"cost_usd": 0.000026399999999999998,
"model": "google/gemini-2.5-flash-lite",
"usage": {
"completion_tokens": 38,
"prompt_tokens": 112,
"total_tokens": 150
}
}
],
"completion_tokens": 38,
"cost_usd": 0.000... | At Aspen Albany Dental, keep the current text of the selected element as Explore Aspen Albany Dental. | {"call":{"arguments":{"reason":"text_already_set"},"name":"no_change"},"target":"node-aspen-albany-dental-heading"} | 52380414e963047c93d9e9b0996f38b3a5e21bf3c1b55b13177114ee2f739976 | dental | 1,412,800 | At Aspen Albany Dental, keep the current text of the selected element as Explore Aspen Albany Dental. | no_change | programmatic_pass | 2 | node-aspen-albany-dental-heading | sf-7d7a2fb22eb18ca0ee2e | {
"context_relation": "selected_target",
"contrast_pair_id": "contrast-train-00000",
"fixture_transformation": {
"element_role": "dental-heading",
"page_family": "dental",
"rule": "base",
"selected_before": {
"background": "#FFA500",
"child_ids": [
"node-aspen-albany-dental-nes... | 7d7a2fb22eb18ca0ee2e5f43930004077e39ec9a950b8589da6b1c87fc0711fa | {
"property": "text",
"value": "Explore Aspen Albany Dental"
} | repo-repository_template_rewrite-00000 | scale-25600-reviewed-paraphrase | train | sg-train-00000 | text | [
{
"function": {
"description": "Set the selected element text.",
"name": "set_text",
"parameters": {
"additionalProperties": false,
"properties": {
"text": {
"type": "string"
}
},
"required": [
"text"
],
... | base | 1,412,800 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
"arguments": {
"reason": "background_already_set"
},
"name": "no_change"
} | 538d1846583c6606b7845df30424a05f71762fc9c71f99996796e782b646b400 | {
"ancestor_ids": [
"node-aspen-albany-veterinary-section",
"node-aspen-albany-veterinary-page"
],
"context_instance": "context-train-00001",
"fixture_id": "fixture-aspen-albany-veterinary-heading",
"named_color_mapping": {
"blue": "#0000FF"
},
"nearby_nodes": {
"node-aspen-albany-veterina... | 938c4e82b24bf0c2e3754a87e65de6359670f05cc62ed6ea636358a7cdc12702 | {
"arguments": {
"reason": "background_already_set"
},
"name": "no_change"
} | fixture-aspen-albany-veterinary-heading | {
"ancestor_ids": [
"node-aspen-albany-veterinary-section",
"node-aspen-albany-veterinary-page"
],
"fixture_id": "fixture-aspen-albany-veterinary-heading",
"history": [
"fixture_loaded"
],
"named_color_mapping": {
"blue": "#0000FF"
},
"nearby_sibling_ids": [
"node-aspen-albany-veteri... | e14.4-scale-12800-v2.0.0 | v2-train-00001-v1 | repository-owned | [
{
"content": "Return exactly one function call for the selected element.",
"role": "developer"
},
{
"content": "Context: {\"ancestor_ids\":[\"node-aspen-albany-veterinary-section\",\"node-aspen-albany-veterinary-page\"],\"context_instance\":\"context-train-00001\",\"fixture_id\":\"fixture-aspen-alba... | {
"attempt": 1,
"calls": [
{
"attempt": 1,
"cost_usd": 0.000031,
"model": "google/gemini-2.5-flash-lite",
"usage": {
"completion_tokens": 47,
"prompt_tokens": 122,
"total_tokens": 169
}
}
],
"completion_tokens": 47,
"cost_usd": 0.000031,
"model":... | For Aspen Albany Veterinary, keep the background of the selected element as #0000FF. | {"call":{"arguments":{"reason":"background_already_set"},"name":"no_change"},"target":"node-aspen-albany-veterinary-heading"} | 591a1f3a1c5485e42f412fb4220465acf3de8161e39d43a788edf47267279270 | veterinary | 1,412,801 | For Aspen Albany Veterinary, keep the background of the selected element as #0000FF. | no_change | programmatic_pass | 2 | node-aspen-albany-veterinary-heading | sf-9e3e93c29aa5e2a7d170 | {
"context_relation": "selected_target",
"contrast_pair_id": "contrast-train-00000",
"fixture_transformation": {
"element_role": "veterinary-heading",
"page_family": "veterinary",
"rule": "base",
"selected_before": {
"background": "#0000FF",
"child_ids": [
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... | base | 1,412,801 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
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... | base | 1,412,801 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
"arguments": {
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{
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... | base | 1,412,802 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
"arguments": {
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... | base | 1,412,802 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
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"model... | In Aspen Albany Physical Therapy, insert a piece of code that can be run into the chosen element. | {"call":{"arguments":{"reason":"unsafe"},"name":"route"},"target":"node-aspen-albany-physical-therapy-heading"} | d3af8fa8310b33ca3547b9ab344db1eb078aed4913129cc4753f9456cad88fee | physical-therapy | 1,412,803 | In Aspen Albany Physical Therapy, insert a piece of code that can be run into the chosen element. | route | programmatic_pass | 2 | node-aspen-albany-physical-therapy-heading | sf-b146c1461b4ed7403925 | {
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... | base | 1,412,803 | repository-owned-e14.4-v2 | model_paraphrase_google_gemini_2_5_flash_lite |
Agency E14.4 experiment authors | {
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... | base | 1,412,803 | repository-owned-e14.4-v2 | model_paraphrase_qwen_qwen_2_5_7b_instruct |
Agency E14.4 experiment authors | {
"arguments": {
"text": "Meet our team at Aspen Albany Urgent Care"
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"model": ... | Replace the current text of the selected element on Aspen Albany Urgent Care with 'Meet our team at Aspen Albany Urgent Care'. | {"call":{"arguments":{"text":"Meet our team at Aspen Albany Urgent Care"},"name":"set_text"},"target":"node-aspen-albany-urgent-care-heading"} | b1c1be2285f542de5d846a443c23fe912154c09c2fe253830826fd5a90f9d8b1 | urgent-care | 1,412,804 | Replace the current text of the selected element on Aspen Albany Urgent Care with 'Meet our team at Aspen Albany Urgent Care'. | set_text | programmatic_pass | 2 | node-aspen-albany-urgent-care-heading | sf-c75beacb04b2a1097251 | {
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... | alternate_copy | 1,412,804 | repository-owned-e14.4-v2 | model_paraphrase_qwen_qwen_2_5_7b_instruct |
Agency E14.4 experiment authors | {
"arguments": {
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Agency E14.4 experiment authors | {
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... | alternate_value | 1,412,808 | repository-owned-e14.4-v2 | model_paraphrase_qwen_qwen_2_5_7b_instruct |
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