Add dataset card
Browse files
README.md
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
pretty_name: LLM Network Study Data
|
| 4 |
+
tags:
|
| 5 |
+
- network-traffic
|
| 6 |
+
- pcap
|
| 7 |
+
- packet-capture
|
| 8 |
+
- llm-inference
|
| 9 |
+
- traffic-analysis
|
| 10 |
+
- bfcl
|
| 11 |
+
size_categories:
|
| 12 |
+
- 10K<n<100K
|
| 13 |
+
configs: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# LLM-Network-Study-Data
|
| 17 |
+
|
| 18 |
+
Per-request network captures (`.pcapng`) collected by the
|
| 19 |
+
[LLM-Network-Study](../LLM-Network-Study) benchmark harness (`benchmark.py` and the
|
| 20 |
+
per-workload test scripts). Each directory holds one capture file per request,
|
| 21 |
+
named `request_<id>_run<n>_<timestamp>.pcapng`.
|
| 22 |
+
|
| 23 |
+
A directory name encodes four dimensions:
|
| 24 |
+
|
| 25 |
+
```
|
| 26 |
+
<capture-env>_<provider/model>_<workload>[_<dataset/variant>]_results
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
## Dimension legend
|
| 30 |
+
|
| 31 |
+
| Dimension | Values | Meaning |
|
| 32 |
+
|-----------|--------|---------|
|
| 33 |
+
| **Capture env** | `ethernet` | Wired connection to the cloud API. |
|
| 34 |
+
| | `mobile_tethered` | Phone-tethered cellular link (phone as modem). |
|
| 35 |
+
| | `mobile_untethered` | Capture on the mobile device itself over cellular. |
|
| 36 |
+
| | `local` | Self-hosted model; traffic split into `client` and `server` side captures. |
|
| 37 |
+
| **Provider** | direct (`claude_*`, `openai_gpt_*`, `gpt_image_1`) | Native vendor API (Anthropic / OpenAI). |
|
| 38 |
+
| | `openrouter_*` | Same model routed through OpenRouter. |
|
| 39 |
+
| | `siliconflow_*` | SiliconFlow inference provider. |
|
| 40 |
+
| **Workload** | `bfcl_*` | Function-calling prompts from the BFCL v4 dataset (see below). |
|
| 41 |
+
| | `image_to_text` | Vision captioning of DiffusionDB images. |
|
| 42 |
+
| | `text_to_image` | Image generation from DiffusionDB prompts. |
|
| 43 |
+
| | `text_to_text` | Plain text generation (local models). |
|
| 44 |
+
| | `video_download` | Baseline (non-LLM) video download for comparison. |
|
| 45 |
+
| **Variant** | `diffusiondb_{100,405,2k}` | Sample size drawn from the DiffusionDB dataset. |
|
| 46 |
+
| | `gen1` / `gen2` | Repeated capture batches of the same config. |
|
| 47 |
+
| | `unblocked` | Run without rate-limiting/throttling. |
|
| 48 |
+
|
| 49 |
+
**BFCL workloads** come from the Berkeley Function-Calling Leaderboard v4 categories:
|
| 50 |
+
`simple_python` (single function call), `parallel` (multiple calls from one prompt),
|
| 51 |
+
`live_multiple` (real-world prompt, pick among many tools), and
|
| 52 |
+
`live_parallel_multiple` (real-world prompt, multiple parallel calls among many tools).
|
| 53 |
+
|
| 54 |
+
## Datasets
|
| 55 |
+
|
| 56 |
+
| Directory | Capture env | Model / Provider | Workload |
|
| 57 |
+
|-----------|-------------|------------------|----------|
|
| 58 |
+
| `ethernet_claude_opus_4_6_bfcl_live_multiple_results` | ethernet | Claude Opus 4.6 (Anthropic) | BFCL live_multiple |
|
| 59 |
+
| `ethernet_claude_opus_4_6_bfcl_live_parallel_multiple_results` | ethernet | Claude Opus 4.6 (Anthropic) | BFCL live_parallel_multiple |
|
| 60 |
+
| `ethernet_claude_opus_4_6_bfcl_parallel_results` | ethernet | Claude Opus 4.6 (Anthropic) | BFCL parallel |
|
| 61 |
+
| `ethernet_claude_opus_4_6_bfcl_simple_python_results` | ethernet | Claude Opus 4.6 (Anthropic) | BFCL simple_python |
|
| 62 |
+
| `ethernet_gpt_5_4_image_to_text_diffusiondb` | ethernet | GPT-5.4 (OpenAI) | Image-to-text (DiffusionDB) |
|
| 63 |
+
| `ethernet_gpt_image_1_text_to_image_diffusiondb_100_results` | ethernet | gpt-image-1 (OpenAI) | Text-to-image (DiffusionDB, 100) |
|
| 64 |
+
| `ethernet_gpt_image_1_text_to_image_diffusiondb_2k_unblocked_results` | ethernet | gpt-image-1 (OpenAI) | Text-to-image (DiffusionDB, 2k, unblocked) |
|
| 65 |
+
| `ethernet_openai_gpt_5_4_bfcl_live_multiple_results` | ethernet | GPT-5.4 (OpenAI direct) | BFCL live_multiple |
|
| 66 |
+
| `ethernet_openai_gpt_5_4_bfcl_live_parallel_multiple_results` | ethernet | GPT-5.4 (OpenAI direct) | BFCL live_parallel_multiple |
|
| 67 |
+
| `ethernet_openai_gpt_5_4_bfcl_parallel_results` | ethernet | GPT-5.4 (OpenAI direct) | BFCL parallel |
|
| 68 |
+
| `ethernet_openai_gpt_5_4_bfcl_simple_python_results` | ethernet | GPT-5.4 (OpenAI direct) | BFCL simple_python |
|
| 69 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen1_bfcl_live_multiple_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL live_multiple (batch 1) |
|
| 70 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen1_bfcl_live_parallel_multiple_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL live_parallel_multiple (batch 1) |
|
| 71 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen1_bfcl_parallel_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL parallel (batch 1) |
|
| 72 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen1_bfcl_simple_python_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL simple_python (batch 1) |
|
| 73 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen2_bfcl_live_multiple_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL live_multiple (batch 2) |
|
| 74 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen2_bfcl_live_parallel_multiple_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL live_parallel_multiple (batch 2) |
|
| 75 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen2_bfcl_parallel_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL parallel (batch 2) |
|
| 76 |
+
| `ethernet_openrouter_claude_sonnet_4_6_gen2_bfcl_simple_python_results` | ethernet | Claude Sonnet 4.6 (OpenRouter) | BFCL simple_python (batch 2) |
|
| 77 |
+
| `ethernet_openrouter_gemini_3_1_pro_bfcl_live_multiple_results` | ethernet | Gemini 3.1 Pro (OpenRouter) | BFCL live_multiple |
|
| 78 |
+
| `ethernet_openrouter_gemini_3_1_pro_bfcl_live_parallel_multiple_results` | ethernet | Gemini 3.1 Pro (OpenRouter) | BFCL live_parallel_multiple |
|
| 79 |
+
| `ethernet_openrouter_gemini_3_1_pro_bfcl_parallel_results` | ethernet | Gemini 3.1 Pro (OpenRouter) | BFCL parallel |
|
| 80 |
+
| `ethernet_openrouter_gemini_3_1_pro_bfcl_simple_python_results` | ethernet | Gemini 3.1 Pro (OpenRouter) | BFCL simple_python |
|
| 81 |
+
| `ethernet_openrouter_gpt_5_4_bfcl_live_multiple_results` | ethernet | GPT-5.4 (OpenRouter) | BFCL live_multiple |
|
| 82 |
+
| `ethernet_openrouter_gpt_5_4_bfcl_live_parallel_multiple_results` | ethernet | GPT-5.4 (OpenRouter) | BFCL live_parallel_multiple |
|
| 83 |
+
| `ethernet_openrouter_gpt_5_4_bfcl_parallel_results` | ethernet | GPT-5.4 (OpenRouter) | BFCL parallel |
|
| 84 |
+
| `ethernet_openrouter_gpt_5_4_bfcl_simple_python_results` | ethernet | GPT-5.4 (OpenRouter) | BFCL simple_python |
|
| 85 |
+
| `ethernet_openrouter_nemotron_3_super_120b_bfcl_live_multiple_results` | ethernet | Nemotron 3 Super 120B (OpenRouter) | BFCL live_multiple |
|
| 86 |
+
| `ethernet_openrouter_nemotron_3_super_120b_bfcl_parallel_results` | ethernet | Nemotron 3 Super 120B (OpenRouter) | BFCL parallel |
|
| 87 |
+
| `ethernet_openrouter_nemotron_3_super_120b_bfcl_simple_python_results` | ethernet | Nemotron 3 Super 120B (OpenRouter) | BFCL simple_python |
|
| 88 |
+
| `ethernet_siliconflow_image_to_text_results` | ethernet | SiliconFlow VLM | Image-to-text (DiffusionDB) |
|
| 89 |
+
| `ethernet_siliconflow_text_to_image_diffusiondb_405_results` | ethernet | SiliconFlow image model | Text-to-image (DiffusionDB, 405) |
|
| 90 |
+
| `ethernet_siliconflow_text_to_text_bfcl_parallel_results` | ethernet | SiliconFlow LLM | BFCL parallel (text) |
|
| 91 |
+
| `ethernet_video_download_results` | ethernet | — (baseline) | Video download baseline |
|
| 92 |
+
| `local_image_to_text_client_results` | local (client side) | Self-hosted VLM | Image-to-text (DiffusionDB) |
|
| 93 |
+
| `local_image_to_text_server_results` | local (server side) | Self-hosted VLM | Image-to-text (DiffusionDB) |
|
| 94 |
+
| `local_text_to_image_diffusiondb_client_results` | local (client side) | Self-hosted image model | Text-to-image (DiffusionDB) |
|
| 95 |
+
| `local_text_to_image_diffusiondb_server_results` | local (server side) | Self-hosted image model | Text-to-image (DiffusionDB) |
|
| 96 |
+
| `local_text_to_text_bfcl_parallel_client_results` | local (client side) | Self-hosted LLM | BFCL parallel (text) |
|
| 97 |
+
| `local_text_to_text_bfcl_parallel_server_results` | local (server side) | Self-hosted LLM | BFCL parallel (text) |
|
| 98 |
+
| `mobile_tethered_gpt_5_4_image_to_text_results` | mobile, tethered | GPT-5.4 (OpenAI) | Image-to-text (DiffusionDB) |
|
| 99 |
+
| `mobile_tethered_gpt_image_1_text_to_image_diffusiondb_405_unblocked_results` | mobile, tethered | gpt-image-1 (OpenAI) | Text-to-image (DiffusionDB, 405, unblocked) |
|
| 100 |
+
| `mobile_tethered_openai_gpt_5_4_bfcl_parallel_results` | mobile, tethered | GPT-5.4 (OpenAI) | BFCL parallel |
|
| 101 |
+
| `mobile_untethered_gpt_5_4_image_to_text_diffusiondb_100_results` | mobile, untethered | GPT-5.4 (OpenAI) | Image-to-text (DiffusionDB, 100) |
|
| 102 |
+
| `mobile_untethered_openai_gpt_5_4_bfcl_parallel_results` | mobile, untethered | GPT-5.4 (OpenAI) | BFCL parallel |
|
| 103 |
+
|
| 104 |
+
## Backup
|
| 105 |
+
|
| 106 |
+
These directories are mirrored to Box at
|
| 107 |
+
`RPI WAYS LAB/LLM/Result Pcaps/LLM-Network-Study-Data` via rclone
|
| 108 |
+
(`rclone copy . "box:RPI WAYS LAB/LLM/Result Pcaps/LLM-Network-Study-Data"`).
|