Parse
Datasets
All datasets matching “Parse”State-Parse-FilteredThe single cell RNA-seq dataset with human PBMC samples was sourced from Parse Biosciences [1]. [1] Performance of Evercode™ WT v3 in Human Immune Cells (PBMCs), https://www.parsebiosciences.com/datasets/performance-of-evercode-wt-v3-in-human-immune-cells-pbmcs/; Parse Biosciences, Seattle, USA; accessed 05/27/2025.
Certain uses of this data may require a license from Parse Biosciences, Inc.
PPTAgent-parsed_dataParseBench
ParseBench
Quick links: [🌐 Website] [📜 Paper] [💻 Code]
ParseBench is a benchmark for evaluating document parsing systems on real-world enterprise documents, with the following characteristics:
Multi-dimensional evaluation. The benchmark is stratified into five capability dimensions — tables, charts, content faithfulness, semantic formatting, and visual grounding — each with task-specific metrics designed to capture what agentic workflows depend on.
Real-world enterprise… See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/ParseBench.xlam-function-calling-60k-parsed
[PARSED] APIGen Function-Calling Datasets (xLAM)
This dataset contains the full data from the original Salesforce/xlam-function-calling-60k
Subset name
multi-turn
parallel
multiple definition
Last turn type
number of dataset
xlam-function-calling-60k
no
yes
yes
tool_calls
60000
This is a re-parsing formatting dataset for the xLAM official dataset.
Load the dataset
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/minpeter/xlam-function-calling-60k-parsed.regression-dataset-for-docling-parse
Regression Dataset for docling-parse
This repository contains the reference dataset used as a regression test corpus for
docling-parse.
Its purpose is to make parser and renderer changes safe: when behavior changes in
docling-parse, the test
suite can compare the current output against the expected artifacts stored in this
dataset.
Correct workflow to add new files
cp /path/to/new.pdf regression/new.pdf
git add regression/new.pdf
git lfs status
git commit -s -m… See the full description on the dataset page: https://huggingface.co/datasets/docling-project/regression-dataset-for-docling-parse.hlrlrd-parsedThe High-Level Rocket League Replay Dataset, parsed into rlgym-tools ReplayFrame objects, and serialized into numpy arrays.
To stream or download this dataset, you can use this code as reference. Note that finding all the remote files can take some time.
import os
import glob
import numpy as np
from concurrent.futures import ThreadPoolExecutor
from huggingface_hub import DatasetCard, HfFileSystem, snapshot_download
from rlgym_tools.rocket_league.misc.serialize import deserialize_replay_frame… See the full description on the dataset page: https://huggingface.co/datasets/Rolv-Arild/hlrlrd-parsed.