Upload folder using huggingface_hub

.gitattributes

@@ -8,6 +8,8 @@
 *.h5 filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
 *.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
@@ -25,6 +27,7 @@
 *.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text
@@ -32,4 +35,29 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-scale-hf-logo.png filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+DOUBAO_ENDPOINT="ep-20250117120525-pp8fp"
+DOUBAO_1_5_ENDPOINT="ep-20250122173512-4tqwl"
+DOUBAO_API_KEY="43e9209b-5c60-478e-8f2f-1b6077f5dc57"
+DOUBAO_1_5_256K_ENDPOINT="ep-20250123113810-mxjq2"

README.md

@@ -1,46 +1,42 @@
 ---
-title: Web Bench Leaderboard
-emoji: 🥇
-colorFrom: green
-colorTo: indigo
-sdk: gradio
-app_file: app.py
-pinned: true
-license: apache-2.0
-short_description: Duplicate this leaderboard to initialize your own!
-sdk_version: 5.19.0
+license: cc-by-4.0
 ---
 
-# Start the configuration
-
-Most of the variables to change for a default leaderboard are in `src/env.py` (replace the path for your leaderboard) and `src/about.py` (for tasks).
-
-Results files should have the following format and be stored as json files:
-```json
-{
-    "config": {
-        "model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
-        "model_name": "path of the model on the hub: org/model",
-        "model_sha": "revision on the hub",
-    },
-    "results": {
-        "task_name": {
-            "metric_name": score,
-        },
-        "task_name2": {
-            "metric_name": score,
-        }
-    }
-}
-```
+# Web-Bench
+
+English | [中文 README](README.zh_CN.md)
+
+## 📖 Overview
+
+**Web-Bench** is a benchmark designed to evaluate the performance of LLMs in actual Web development. Web-Bench contains 50 projects, each consisting of 20 tasks with sequential dependencies. The tasks implement project features in sequence, simulating real-world human development workflows. When designing Web-Bench, we aim to cover the foundational elements of Web development: Web Standards and Web Frameworks. Given the scale and complexity of these projects, which were designed by engineers with 5-10 years of experience, each presents a significant challenge. On average, a single project takes 4–8 hours for a senior engineer to complete. On our given benchmark agent (Web-Agent), SOTA (Claude 3.7 Sonnet) achieves only 25.1\% Pass@1.
+
+The distribution of the experimental data aligns well with the current code generation capabilities of mainstream LLMs.
+<img width="500" alt="pass@1" src="./docs/assets/pass-1.png" />
+
+HumanEval and MBPP have approached saturation. APPS and EvalPlus are approaching saturation. The SOTA for Web-Bench is 25.1\%, which is lower (better) than that of the SWE-bench Full and Verified sets.
+<img width="500" alt="SOTAs" src="./docs/assets/sotas.png" />
+
+## Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks
+The datasets was presented in the paper [Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks](https://huggingface.co/papers/2505.07473).
 
-Request files are created automatically by this tool.
+## 🏅 Leaderboard
+
+[Leaderboard](https://huggingface.co/spaces/bytedance-research/Web-Bench-Leaderboard)
+
+
+## Dataset Structure
+
+An example of a Web-Bench datum is as follows:
+
+```
+id: (str) Task id, init | task-n
+project: (str) Task project name
+description: (str) Task details description
+date: (str) Task publish date, filter contaminated model
+level: (str) Task level: easy | moderate | challenging
+```
 
-If you encounter problem on the space, don't hesitate to restart it to remove the create eval-queue, eval-queue-bk, eval-results and eval-results-bk created folder.
 
-# Code logic for more complex edits
+## 📘 Usage
 
-You'll find 
-- the main table' columns names and properties in `src/display/utils.py`
-- the logic to read all results and request files, then convert them in dataframe lines, in `src/leaderboard/read_evals.py`, and `src/populate.py`
-- the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py`
+[GitHub](https://github.com/bytedance/web-bench)