OpenEnv Arena Challenge Artifacts
Collection
Arena datasets v4/v21; images: hub.docker.com/r/kshitij190/arena-domain-lab; challenge: openenvarena-arena.hf.space • 7 items • Updated
Datasets:
Modalities:
Text
Formats:
json
Languages:
English
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< 1K
Tags:
genai-otel-instrument
genai-observability
openenv
reinforcement-learning
opentelemetry
synthetic-data
License:
reference_evidence_path listlengths 2 2 | reference_interpretation stringclasses 8
values | reward dict | spans listlengths 2 2 | split stringclasses 1
value | task stringclasses 8
values | task_id stringclasses 8
values | trace_id stringclasses 8
values | trace_summary stringclasses 8
values |
|---|---|---|---|---|---|---|---|---|
[
"a1",
"a2"
] | zero cost is unpriced and does not mean free inference | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 228,
"name": "app.chat",
"parent_span_id": null,
"span_id": "a1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "chat",
"gen_ai.request.model": "synthetic-model-a",
"gen_ai.response.model": "synthetic-model-a",
... | train | Determine whether the zero-cost model call is free or unpriced, and cite its causal span path. | genai-01 | synthetic-genai-01 | A chat request completed, but its pricing source is unpriced. |
[
"b1",
"b2"
] | estimated cost is indicative and not billable spend | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 810,
"name": "agent.run",
"parent_span_id": null,
"span_id": "b1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "chat",
"gen_ai.request.model": "local-small-7b",
"gen_ai.response.model": "local-small-7b",
"gen... | train | Classify the reported model-call cost and identify the evidence path. Is this billable spend? | genai-02 | synthetic-genai-02 | A local-model call has an estimated cost based on model size. |
[
"c1",
"c2"
] | requested model is deprecated and needs migration planning | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 405,
"name": "assistant.request",
"parent_span_id": null,
"span_id": "c1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "chat",
"gen_ai.request.model": "synthetic-legacy-model",
"gen_ai.request.model.deprecated": tr... | train | Identify the release risk in this successful model call and cite the supporting spans. | genai-03 | synthetic-genai-03 | The request succeeded and has a table-based cost, while its requested model is marked deprecated. |
[
"d1",
"d2"
] | output token count is unavailable so per output token latency is not measured | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 1240,
"name": "stream.request",
"parent_span_id": null,
"span_id": "d1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "chat",
"gen_ai.request.model": "synthetic-stream-model",
"gen_ai.server.time_to_first_token": 0.... | train | Explain why per-output-token latency is absent. Do not infer it from chunk count; cite the evidence path. | genai-04 | synthetic-genai-04 | A streamed call records TTFT and a reason that TPOT could not be computed. |
[
"e1",
"e2"
] | vision capability was recoverably downgraded due to a payload limit | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 996,
"name": "agent.turn",
"parent_span_id": null,
"span_id": "e1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "chat",
"gen_ai.request.model": "synthetic-multimodal-model",
"gen_ai.response.model": "synthetic-mult... | train | Interpret the successful response's degradation signal and report the affected component and evidence path. | genai-05 | synthetic-genai-05 | The model request succeeded with a recoverable capability downgrade event. |
[
"f1",
"f2"
] | call duration is known but streamed ttft and tpot were not measured | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 640,
"name": "chat.endpoint",
"parent_span_id": null,
"span_id": "f1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "chat",
"gen_ai.request.model": "synthetic-chat-model",
"gen_ai.system": "openai",
"gen_ai.us... | train | State what can and cannot be concluded about streaming latency, and cite the relevant span path. | genai-06 | synthetic-genai-06 | A non-streamed model call has duration and token usage but no streamed latency fields. |
[
"g1",
"g2"
] | document payload was omitted after a media upload error | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 1440,
"name": "document.answer",
"parent_span_id": null,
"span_id": "g1",
"status": "OK"
},
{
"attributes": {
"gen_ai.media.stripped_reason": "upload_error",
"gen_ai.operation.name": "chat",
"gen_ai.prompt.0.content.0.media_byte_si... | train | Explain why media bytes are absent while identifying the modality and the evidence path. | genai-07 | synthetic-genai-07 | A document part was observed and intentionally stripped after a capture upload error. |
[
"h1",
"h2"
] | this is an embedding batch of six inputs rather than chat generation | {
"evidence_path_exact_ordered": 0.5,
"interpretation_exact": 0.5
} | [
{
"attributes": {},
"duration_ms": 188,
"name": "knowledge.lookup",
"parent_span_id": null,
"span_id": "h1",
"status": "OK"
},
{
"attributes": {
"gen_ai.operation.name": "embeddings",
"gen_ai.request.dimensions": 1536,
"gen_ai.request.input_count": 6,
"gen_ai.... | train | Find the embedding operation's batch size and explain whether it is a chat generation call; cite the evidence path. | genai-08 | synthetic-genai-08 | A retrieval trace contains an embedding span with request and response counts. |
GenAI OTel Trace Lab v1
This dataset is the fixed eight-task training mix for GenAI OTel Trace Lab v1. It contains task IDs genai-01 through genai-08, each with a two-span synthetic trace, a diagnosis prompt, the canonical interpretation, an ordered evidence path, and deterministic reward weights. All eight rows belong to the train split.
The task set matches the original v1 snapshot at revision c51b526. The reward contract awards 0.5 for an exact normalized interpretation and 0.5 for the exact ordered evidence path. Inspection actions are nonterminal and provide no shaped reward.
All IDs, values, traces, and narratives are synthetic. The examples follow public genai-otel-instrument conventions and cover usage and cost provenance, deprecation, streaming measurement availability, degradation, media capture, and embeddings.
OpenEnv Arena
This environment is built for the OpenEnv Arena challenge. Follow results and community discussion on the Arena message board. The task fixtures are embedded in the environment image; the server does not download this dataset at runtime. Arena snapshots the current dataset revision when a run is submitted.
The historical reference image is kshitij190/trace-path-lab:0.1.0.
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