Datasets:
Commit ·
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0
Parent(s):
Respan Behavior Benchmark v1.0.0
Browse filesClaude-Session: https://claude.ai/code/session_01JdbPHtaNJaawLpY1uSXq8g
- .gitattributes +60 -0
- LICENSE +17 -0
- README.md +157 -0
- VERSION +1 -0
- core.parquet +3 -0
- multilingual.parquet +3 -0
- release_manifest.json +34 -0
- release_stats.json +103 -0
- respan-wordmark-black.png +3 -0
- respan-wordmark-white.png +3 -0
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LICENSE
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# Mixed-source licenses
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This repository contains derived annotations over spans from multiple public
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datasets. No single license applies to every row. The `source_dataset` and
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`source_license` columns identify the applicable upstream terms.
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| source | upstream dataset | license |
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|---|---|---|
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| `nemotron_interactive`, `nemotron_toolcall`, `nemotron_search` | [nvidia/Nemotron-SFT-Agentic-v2](https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2) | CC-BY-4.0 |
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| `swe_smith` | [Kwai-Klear/SWE-smith-mini_swe_agent_plus-trajectories-66k](https://huggingface.co/datasets/Kwai-Klear/SWE-smith-mini_swe_agent_plus-trajectories-66k) | MIT |
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| `swe_agent` | [nebius/SWE-agent-trajectories](https://huggingface.co/datasets/nebius/SWE-agent-trajectories) | CC-BY-4.0 |
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| `wildchat` | [allenai/WildChat-4.8M](https://huggingface.co/datasets/allenai/WildChat-4.8M) | ODC-BY-1.0 |
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Multilingual rewrites inherit the license of their underlying source span.
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Behavior definitions, labels, judge outputs, and documentation are distributed
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subject to the terms applicable to the source span they annotate. Users are
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responsible for reviewing and complying with every relevant upstream license.
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README.md
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---
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license: other
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license_name: mixed-source-licenses
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language:
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- en
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- ar
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- de
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- es
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- fr
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- hi
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- id
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- it
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- ja
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- ko
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- nl
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- pl
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- pt
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- ru
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- sv
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- th
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- tr
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- vi
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- zh
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task_categories:
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- text-classification
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annotations_creators:
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- machine-generated
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pretty_name: Respan Behavior Benchmark
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size_categories:
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- 10K<n<100K
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tags:
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- evaluation
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- llm
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- agents
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- behavior-classification
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- observability
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configs:
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- config_name: default
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default: true
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data_files:
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- split: core
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path: core.parquet
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- split: multilingual
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path: multilingual.parquet
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---
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<p align="center">
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<img class="dark:hidden" src="respan-wordmark-black.png" alt="Respan" width="176">
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<img class="hidden dark:block" src="respan-wordmark-white.png" alt="Respan" width="176">
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</p>
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<h1 align="center">Behavior Benchmark</h1>
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<p align="center">
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Does this LLM trace show this behavior? A multilingual benchmark on real chat and agent traces.<br>
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<sub>1,990 traces · 34,885 trace–behavior pairs · 19 languages · v1.0.0</sub>
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</p>
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---
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Each row pairs a trace (one LLM call: its input messages, output, and call
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metadata) with a behavior written in plain language. A system predicts one of:
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- `present`: the trace shows the behavior;
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- `absent`: the trace shows it did not happen;
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- `not_observable`: the trace doesn't contain enough to decide.
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Behaviors cover agentic process, tool use, style, user and assistant
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semantics, quantitative metadata (latency, tokens, cost), relational
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properties, grounding, and language.
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## Quick start
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```python
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from datasets import load_dataset
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ds = load_dataset("respanai/behavior-benchmark") # splits: core, multilingual
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ex = ds["core"][0]
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ex["input"], ex["output"], ex["metadata"] # the trace, in OpenAI chat format
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ex["behavior_definition"], ex["label"] # the question and its answer
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```
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| split | traces | rows | contents |
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|---|---:|---:|---|
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| `core` | 1,475 | 26,495 | English chat, tool-use, search, and coding-agent traces |
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| `multilingual` | 515 | 8,390 | Traces in 18 additional languages, plus English controls |
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Labels: `absent` 87.6%, `present` 10.4%, `not_observable` 2.0%.
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## Fields
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| field | description |
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|---|---|
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| `cell_id` | Unique row ID |
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| `task_id`, `span_id` | Trace ID (shared by all rows on the same trace) |
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| `suite` | `core` or `multilingual` (same as the split) |
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| `source`, `source_dataset`, `source_license` | Upstream dataset and its license |
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| `input` | Messages sent to the model: `role`, `content`, `tool_calls` (`id`, `name`, JSON `arguments`), `tool_call_id`, `name` |
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| `output` | The model's reply, same shape as a message |
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| `metadata` | `model`, `finish_reason`, `status`, `latency_ms`, `time_to_first_token_ms`, `prompt_tokens`, `completion_tokens`, `cost_usd`, `temperature`, `top_p`, `seed`, `stream`, `tools_defined` (null when unknown) |
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| `language` | Language code of the trace |
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| `def_id`, `behavior_type`, `behavior_definition` | Behavior ID, family, and text |
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| `label` | `present`, `absent`, or `not_observable` |
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## Labels
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Labels come from three methods.
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| method | `core` | `multilingual` |
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|---|---:|---:|
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| Teachers: `gpt-5.6-sol` and `claude-opus-5` agree | 24,074 | 5,541 ¹ |
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| Tie-break: the teachers disagreed and `gpt-6-astra` decided | 2,421 | ¹ |
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| Construction: set by how the trace was built | — | 2,851 |
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¹ The multilingual count covers both teacher rows and tie-breaks. Rows with no
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majority were dropped. Construction labels cover language behaviors, and
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language-conditioned behaviors whose language condition is false.
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These are model labels, not ground truth. `gpt-5.6-sol`, `claude-opus-5`,
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`gpt-6-astra` and `claude-opus-5.5` helped make the labels, so they can't be
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fairly evaluated on this benchmark.
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## Evaluation
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Report F1 on `present` for `core` and `multilingual` separately, plus pooled.
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For confidence intervals, bootstrap over `task_id` rather than rows. State the
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model version, prompt, and any decision thresholds used.
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## Limitations
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- Teachers saw a length-limited rendering of each trace, so a few
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`not_observable` labels may be decidable from the full trace.
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- No negated or omission-style behaviors.
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- Models from the same family as a teacher may have an advantage.
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## Sensitive content and license
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Traces come from public datasets and may contain personal data, fake
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credentials, or expired signed URLs from the originals. We scanned for them
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([`release_stats.json`](release_stats.json)), but a scan can't catch
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everything. Don't use the data to identify people, and don't try to use any
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credential-like string.
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Each row keeps its upstream license in `source_license`; see [LICENSE](LICENSE).
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## Citation
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| 148 |
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```bibtex
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@misc{respan_behavior_benchmark_2026,
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title = {Respan Behavior Benchmark},
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author = {Respan},
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year = {2026},
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howpublished = {Hugging Face dataset},
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url = {https://huggingface.co/datasets/respanai/behavior-benchmark}
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}
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```
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1.0.0
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core.parquet
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version https://git-lfs.github.com/spec/v1
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size 9794144
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multilingual.parquet
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:eccbc79620bf3aea8ca3ab51041b6966d773f61a8d4669652165c7a8e8eecce1
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size 1091886
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release_manifest.json
ADDED
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{
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release_stats.json
ADDED
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| 1 |
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{
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| 2 |
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| 3 |
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| 6 |
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{
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| 11 |
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| 13 |
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| 16 |
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|
| 18 |
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},
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|
respan-wordmark-black.png
ADDED
|
Git LFS Details
|
respan-wordmark-white.png
ADDED
|
Git LFS Details
|