datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
resultsBerkeley-Function-Calling-Leaderboard
Berkeley Function Calling Leaderboard
The Berkeley function calling leaderboard is a live leaderboard to evaluate the ability of different LLMs to call functions (also referred to as tools).
We built this dataset from our learnings to be representative of most users' function calling use-cases, for example, in agents, as a part of enterprise workflows, etc.
To this end, our evaluation dataset spans diverse categories, and across multiple languages.
Checkout the Leaderboard at… See the full description on the dataset page: https://huggingface.co/datasets/gorilla-llm/Berkeley-Function-Calling-Leaderboard.requestsrequests
Open LLM Leaderboard Requests
This repository contains the request files of models that have been submitted to the Open LLM Leaderboard.
You can take a look at the current status of your model by finding its request file in this dataset. If your model failed, feel free to open an issue on the Open LLM Leaderboard! (We don't follow issues in this repository as often)
Evaluation Methodology
The evaluation process involves running your models against several benchmarks from… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/requests.mteb_leaderboard
[!NOTE]Previously it was possible to submit models results to MTEB by adding the results to the model metadata. This is no longer an option as we want to ensure high quality metadata.
This repository contain the results of the embedding benchmark evaluated using the package mteb.
Reference
🦾 Leaderboard
An up to date leaderboard of embedding models
📚 mteb
Guides and instructions on how to use mteb, including running, submitting scores, etc.
🙋 Questions
Questions about the… See the full description on the dataset page: https://huggingface.co/datasets/morteza20/mteb_leaderboard.llm_pt_leaderboard_raw_resultsrequestsleaderboard-dataset
Arena Leaderboard Dataset
Historical snapshots of the Arena leaderboard.
Usage
from datasets import load_dataset
# Load all historical text style control data
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="full")
# Load the current text style control leaderboard
ds = load_dataset("lmarena-ai/leaderboard-dataset", "text_style_control", split="latest")
# Filter to overall category
ds =… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset.drlc-leaderboard-datarequestsresultsleaderboard-detailsleaderboard-resultsopen-asr-leaderboard
ESB Test Sets: Parquet & Sorted
This dataset takes the open-asr-leaderboard/datasets-test-only data and sorts each split by audio length.
The format is also changed, from custom loading script (un-safe remote code) to parquet (safe).
Broadly speaking, this dataset was generated with the following code-snippet:
from datasets import load_dataset, get_dataset_config_names
DATASET = "open-asr-leaderboard/datasets-test-only" # dataset to load from
HUB_DATASET_ID =… See the full description on the dataset page: https://huggingface.co/datasets/hf-audio/open-asr-leaderboard.leaderboard-requestsrequestscot-eval-traces-2.0contentshuggingface-leaderboard
Huggingface Leaderboard's History Dataset
🏆 This is the history dataset of Huggingface Leaderboard.
🗒️ This dataset contains full dataframes in a CSV file for each time lapse.
⌛ This dataset is automatically updated when space restarts. (Which is approximately every 6 hours)
Leaderboard Link
🔗 Weyaxi/huggingface-leaderboard
leaderboard-requestsrequests-backupskillsbench-leaderboard
SkillsBench Leaderboard and Evidence Archive
This repository stores public SkillsBench submissions, raw BenchFlow trial artifacts, trajectory evidence, audit reports, and the release-aligned official leaderboard exports.
Official benchmark definition: benchflow/skillsbenchLatest public benchmark release: SkillsBench v1.1Latest source commit: 27738384b1df694ea2ae466e416f476e94d8fab9
Current Official Release
The latest public results are under:… See the full description on the dataset page: https://huggingface.co/datasets/benchflow/skillsbench-leaderboard.resultsSWE-rebench-leaderboard
Dataset Summary
❗❗❗ Please use Harbour Hub for the July 2026 evaluation split:https://hub.harborframework.com/datasets/ibragim-badertdinov/swe-rebench-07-2026/latest
SWE-rebench-leaderboard is a continuously updated, curated subset of the full SWE-rebench corpus, tailored for benchmarking software engineering agents on real-world tasks.
These tasks are used in the SWE-rebench leaderboard. For more details on the benchmark methodology and data collection process, please refer to… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-rebench-leaderboard.llm_pt_leaderboard_requestsresults
Open LLM Leaderboard Results
This repository contains the outcomes of your submitted models that have been evaluated through the Open LLM Leaderboard. Our goal is to shed light on the cutting-edge Large Language Models (LLMs) and chatbots, enabling you to make well-informed decisions regarding your chosen application.
Evaluation Methodology
The evaluation process involves running your models against several benchmarks from the Eleuther AI Harness, a unified framework for… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/results.vlm_resultsllm-perf-leaderboardvlm_requestsLHTB-leaderboard
LHTB Leaderboard — Long-Horizon Terminal-Bench
This repository hosts submitted runs for
Long-Horizon Terminal-Bench (LHTB),
a 46-task benchmark measuring how well LLM agents sustain useful work in a
containerized terminal over hundreds of steps.
Every entry below ships its complete run artifacts — per-trial configs, results,
verifier outputs and terminal recordings — so any score on this board can be audited
without rerunning the suite.
📊 Benchmark dataset:… See the full description on the dataset page: https://huggingface.co/datasets/IntelligenceLab/LHTB-leaderboard.