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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
modelInput: struct<messages: list<item: struct<role: string, content: list<item: struct<text: string>>>>, infere (... 39 chars omitted)
child 0, messages: list<item: struct<role: string, content: list<item: struct<text: string>>>>
child 0, item: struct<role: string, content: list<item: struct<text: string>>>
child 0, role: string
child 1, content: list<item: struct<text: string>>
child 0, item: struct<text: string>
child 0, text: string
child 1, inferenceConfig: struct<temperature: double>
child 0, temperature: double
modelOutput: struct<output: struct<message: struct<role: string, content: list<item: struct<image: null, searchRe (... 611 chars omitted)
child 0, output: struct<message: struct<role: string, content: list<item: struct<image: null, searchResult: null, cit (... 174 chars omitted)
child 0, message: struct<role: string, content: list<item: struct<image: null, searchResult: null, citationsContent: n (... 157 chars omitted)
child 0, role: string
child 1, content: list<item: struct<image: null, searchResult: null, citationsContent: null, toolUse: null, guardConte (... 126 chars omitted)
child 0, item: struct<image: null, searchResult: null, citationsContent: null, toolUse: null, guardContent: null, d (... 114 chars omitted)
child 0, image: null
child 1, searchResult: null
child 2, citationsContent: null
child 3, toolUse: null
child 4, guardContent: null
child 5, document: null
child 6, cachePoint: null
child 7, text: string
child 8, video: null
child 9, audio: null
child 10, toolResult: null
child 11, reasoningContent: null
child 1, stopReason: string
child 2, trace: null
child 3, performanceConfig: null
child 4, additionalModelResponseFields: null
child 5, usage: struct<serverToolUsage: struct<webSearchRequests: null>, cacheReadInputTokens: int64, cacheWriteInpu (... 163 chars omitted)
child 0, serverToolUsage: struct<webSearchRequests: null>
child 0, webSearchRequests: null
child 1, cacheReadInputTokens: int64
child 2, cacheWriteInputTokens: int64
child 3, cacheDetails: null
child 4, inputTokens: int64
child 5, outputTokens: int64
child 6, totalTokens: int64
child 7, cacheWriteInputTokenCount: int64
child 8, cacheReadInputTokenCount: int64
child 6, serviceTier: null
child 7, metrics: struct<latencyMs: int64>
child 0, latencyMs: int64
recordId: string
responses: list<item: string>
child 0, item: string
epoch: string
record_id: string
results: list<item: bool>
child 0, item: bool
to
{'epoch': Value('string'), 'record_id': Value('string'), 'results': List(Value('bool')), 'responses': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
modelInput: struct<messages: list<item: struct<role: string, content: list<item: struct<text: string>>>>, infere (... 39 chars omitted)
child 0, messages: list<item: struct<role: string, content: list<item: struct<text: string>>>>
child 0, item: struct<role: string, content: list<item: struct<text: string>>>
child 0, role: string
child 1, content: list<item: struct<text: string>>
child 0, item: struct<text: string>
child 0, text: string
child 1, inferenceConfig: struct<temperature: double>
child 0, temperature: double
modelOutput: struct<output: struct<message: struct<role: string, content: list<item: struct<image: null, searchRe (... 611 chars omitted)
child 0, output: struct<message: struct<role: string, content: list<item: struct<image: null, searchResult: null, cit (... 174 chars omitted)
child 0, message: struct<role: string, content: list<item: struct<image: null, searchResult: null, citationsContent: n (... 157 chars omitted)
child 0, role: string
child 1, content: list<item: struct<image: null, searchResult: null, citationsContent: null, toolUse: null, guardConte (... 126 chars omitted)
child 0, item: struct<image: null, searchResult: null, citationsContent: null, toolUse: null, guardContent: null, d (... 114 chars omitted)
child 0, image: null
child 1, searchResult: null
child 2, citationsContent: null
child 3, toolUse: null
child 4, guardContent: null
child 5, document: null
child 6, cachePoint: null
child 7, text: string
child 8, video: null
child 9, audio: null
child 10, toolResult: null
child 11, reasoningContent: null
child 1, stopReason: string
child 2, trace: null
child 3, performanceConfig: null
child 4, additionalModelResponseFields: null
child 5, usage: struct<serverToolUsage: struct<webSearchRequests: null>, cacheReadInputTokens: int64, cacheWriteInpu (... 163 chars omitted)
child 0, serverToolUsage: struct<webSearchRequests: null>
child 0, webSearchRequests: null
child 1, cacheReadInputTokens: int64
child 2, cacheWriteInputTokens: int64
child 3, cacheDetails: null
child 4, inputTokens: int64
child 5, outputTokens: int64
child 6, totalTokens: int64
child 7, cacheWriteInputTokenCount: int64
child 8, cacheReadInputTokenCount: int64
child 6, serviceTier: null
child 7, metrics: struct<latencyMs: int64>
child 0, latencyMs: int64
recordId: string
responses: list<item: string>
child 0, item: string
epoch: string
record_id: string
results: list<item: bool>
child 0, item: bool
to
{'epoch': Value('string'), 'record_id': Value('string'), 'results': List(Value('bool')), 'responses': List(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 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.
epoch string | record_id string | results list | responses list |
|---|---|---|---|
1 | 1145/06a-04 | [
false,
false,
false
] | [
"## Critique\n\nThe criterion asks whether the AI response avoids including teacher explanations or rationales for its response.\n\nExamining the AI response, the supplier's dialogue itself (the roleplay portion) does not contain teacher explanations. The supplier speaks naturally in character, discussing delivery ... |
1 | 711/06u1 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether \"the response is not appropriate for the cultural sensitivities\" related to: Food; Relationships; Appearance; Gestures & Behaviour Norms; Holidays & Cultural Practices; Historical & Geo-political Context.\n\nThis is a negatively-worded criterion, so a PASS means... |
1 | 137/137-06 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether \"timing remains feasible for 60-minute lesson with adapted activities.\"\n\nTo evaluate this, I need to examine whether the AI response provides a lesson structure that can realistically fit within 60 minutes and whether explicit timing is provided or can be reas... |
1 | 137/03u2 | [
false,
false,
false
] | [
"## Detailed Critique\n\nThe criterion asks whether \"The response is appropriate for other learner characteristics: L1 script; L1 literacy, Learning needs.\"\n\nThis criterion evaluates whether the AI response takes into account learner characteristics beyond proficiency level, specifically:\n1. **L1 script** (fir... |
1 | 711/09b-01 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether there are **insights into learning progress, derived from the data**.\n\nThe AI response demonstrates multiple clear insights about learning progress throughout:\n\n**1. Overall Progress Quantified:**\nThe response provides a comprehensive table showing gains acro... |
1 | 106/06u1 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the response is appropriate for cultural sensitivities in the Ethiopian context, specifically regarding: Food; Relationships; Appearance; Gestures & Behaviour Norms; Holidays & Cultural Practices; Historical & Geo-political Context.\n\nLet me examine the AI respon... |
1 | 1145/1145-03 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion requires the AI response to use C1 professional negotiation language with appropriate hedging and conditional phrasing. Let me examine the evidence:\n\n**Hedging language present:**\n- \"I appreciate your candour about the timeline, **though** I have to be forthright with you\... |
1 | 145/02u2 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether \"the language is appropriate for the CEFR level.\" The original task specifies that the teacher works with **B2 level students** (ages 17-18).\n\n### Evidence of Appropriate B2-Level Language Understanding\n\nThe AI response demonstrates strong awareness of B2 pr... |
1 | 711/711-02 | [
false,
false,
false
] | [
"## Detailed Critique\n\nThe criterion requires the AI response to identify that **presentation skills show the smallest absolute gains** compared to technical reading and report writing, and to provide a plausible explanation for this pattern.\n\n### Examining the AI Response for This Requirement:\n\n**1. Does the... |
1 | 137/02a-07 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion requires \"a sequence of activities with realistic timings.\" Let me examine whether the AI response provides this.\n\n**Evidence of a sequence of activities:**\n\nThe AI response clearly presents a structured sequence of lesson stages:\n1. Warmer: Weekend Plans (5 mins)\n2. G... |
1 | 106/106-06 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the response gives **specific examples of activities suited to the context**. The context is: A1 young learners aged 6-8, large class of 40 students, crowded classroom in Ethiopia, limited resources (no projector, limited printed materials).\n\n### Evidence of Spe... |
1 | 1145/01u3 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether \"the response is appropriate for the learner age.\"\n\nThe learner is identified as a **C1 learner from Mexico working in international trade**. This indicates an adult professional learner, not a child or adolescent.\n\nExamining the AI response for age-appropri... |
1 | 137/02a-01 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the AI response includes an appropriate pattern in the choice and sequencing of activities, specifically mentioning PPP (Presentation-Practice-Production), ESA (Engage, Study, Activate), or TBLT as examples.\n\n**Evidence of sequencing pattern:**\n\nThe AI respons... |
1 | 145/145-05 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the approach ensures consistency across 24 students. This requires the AI response to provide concrete strategies, systems, or procedures that would allow the teacher to apply the same evaluation standards reliably to all students in the class.\n\n### Evidence of ... |
1 | 106/106-01 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the response includes strategies for managing large classes of young learners. Let me examine the AI response systematically for evidence of such strategies.\n\n**Evidence of large class management strategies:**\n\n1. **Structured peer learning systems** (Section ... |
1 | 106/08u2 | [
false,
true,
true
] | [
"## Critique\n\nThe criterion asks whether \"the response is **not** appropriate for the available resources: Materials; Projection screen; Internet; Devices.\" This is a negatively-worded criterion, so a PASS means the response IS appropriate (i.e., does NOT require unavailable resources), and a FAIL means the res... |
1 | 711/09b-02 | [
false,
false,
false
] | [
"## Detailed Critique\n\nThe criterion asks whether \"the analysis of the data is related to recognised or established standards.\" This requires the AI response to reference, compare against, or situate the findings within known benchmarks, frameworks, or standards in language education or ESP assessment.\n\n**Evi... |
1 | 145/03u2 | [
false,
false,
false
] | [
"## Detailed Critique\n\nThe criterion asks whether \"The response is appropriate for other learner characteristics: L1 script; L1 literacy, Learning needs.\"\n\n### Analysis of the AI Response\n\n**L1 Script Consideration:**\nThe AI response does not explicitly address the L1 script of the learners. There is no me... |
1 | 137/05u1 | [
true,
false,
false
] | [
"## Detailed Critique\n\nThe criterion requires that the response be appropriate for the specific learning context, which includes: **Setting type** (evening class in Germany), **Class configuration** (mixed-level A2 adults), **L1 Composition** (not specified but implied multilingual), **Class size** (16 students),... |
1 | 1145/1145-04 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether \"the response proposes a compromise or explains constraints rather than simply agreeing or refusing.\"\n\nLet me examine the AI response for evidence of these elements:\n\n**Explanation of Constraints:**\nThe AI response clearly explains multiple constraints:\n- ... |
1 | 711/711-03 | [
false,
false,
false
] | [
"## Detailed Critique\n\nThe criterion requires the AI response to:\n1. Identify student-7 and student-10 as the two weakest performers\n2. Note that they remain below 60% in most areas by module 4\n3. Discuss their trajectory honestly\n\n**Evidence from the AI response:**\n\nThe AI response does mention student-7 ... |
1 | 106/12b-01 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the AI response is appropriate for the professional experience and qualifications of the teacher. The original task describes a teacher working in Ethiopia with A1 young learners aged 6-8 in a large class of 40 students with limited resources. This context suggest... |
1 | 137/02a-08 | [
true,
true,
true
] | [
"## Detailed Critique\n\nThe criterion asks whether the AI response \"supports students towards improved proficiency in the way it introduces language, moves from more scaffolded to less scaffolded activities.\"\n\n### Evidence of Language Introduction with Scaffolding\n\nThe AI response demonstrates clear scaffold... |
End of preview.
Anon-Bench test run data
Raw data generated in the test run of Anon-Bench. For the reference implementation of Anon Bench, see the github repo.
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