datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
datatrove-testsDatasets used for datatrove testing.
Each split contains the same data:
dst = [
{"text": "hello"},
{"text": "world"},
{"text": "how"},
{"text": "are"},
{"text": "you"},
]
But based on the split name the data are sharded into n-bins
c4-10k-mini-tokenized-16-ctx-gelu-1l-testsdataset-test-1backendbench_tests
TorchBench
The TorchBench suite of BackendBench is designed to mimic real-world use cases. It provides operators and inputs derived from 155 model traces found in TIMM (67), Hugging Face Transformers (45), and TorchBench (43). (These are also the models PyTorch developers use to validate performance.) You can view the origin of these traces by switching the subset in the dataset viewer to ops_traces_models and torchbench for the full dataset.
When running BackendBench, much of the… See the full description on the dataset page: https://huggingface.co/datasets/GPUMODE/backendbench_tests.duckdb_ci_testsswesmith-sandboxes-with_testsMindGuard-testset
MindGuard-testset: Expert-Annotated Evaluation Data for Mental Health AI Safety
MindGuard-testset is a clinically grounded benchmark dataset for evaluating safety classifiers in mental health AI systems. This dataset was developed by Sword Health in collaboration with licensed clinical psychologists to address the critical need for contextually appropriate safety measures in therapeutic AI applications.
Overview
MindGuard-testset contains 1,134 annotated user turns… See the full description on the dataset page: https://huggingface.co/datasets/swordhealth/MindGuard-testset.dolci-think-translation-tests
Dolci-Think Translation Tests
This dataset contains the inputs, outputs, reconstruction records, automatic
diagnostics, and retained COMET-QE evidence from a set of controlled translation
experiments over 340 English messages selected from
allenai/Dolci-Think-SFT-7B.
It is intended for inspecting the experiments and reproducing analyses, not as a
ready-made translation training set.
The central complication is that one source document does not always correspond
to one model… See the full description on the dataset page: https://huggingface.co/datasets/RfKnowledge/dolci-think-translation-tests.test_sample_1000_part4test_shards_datasetstress_tests_nli
Overview
Original dataset page here and dataset available here.
Dataset curation
Added new column label with encoded labels with the following mapping
{"entailment": 0, "neutral": 1, "contradiction": 2}
and the columns with parse information are dropped as they are not well formatted.
Also, the name of the file from which each instance comes is added in the column dtype.
Code to create the dataset
import pandas as pd
from datasets import Dataset, ClassLabel… See the full description on the dataset page: https://huggingface.co/datasets/pietrolesci/stress_tests_nli.test_sample_1000_part2test_sample_1000_part1cpp_unit_tests_benchmark_dataSWE-bench__style-2-tests__fs-oracletest_sample_1000_part3SWE-bench__style-2-edits-only-tests__fs-oraclecodebase-content-SWE-bench_Verified-with-comments-and-testsswesmith-sandboxes-with_tests-oracle_verifiedseed_code_multiple_samples_scale_up_base_16K_unit_teststest_svla_pnp3Tokenizer-Testsettest-single-taskThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 2,
"total_frames": 600,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kevin510/test-single-task.swebench_verified_GLM_4_7_swesmith_sandboxes_with_tests_oracle_verified_120s_mad3f88d27test_shortsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 47037,
"total_tasks": 1,
"total_videos": 150,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/HuaihaiLyu/test_shorts.cpp_unit_tests_benchmark_data_with_splitsdev_set_v2_GLM_4_7_swesmith_sandboxes_with_tests_oracle_verified_120s_maxeps_13bdbbb3f0gaia_127_GLM_4_7_swesmith_sandboxes_with_tests_oracle_verified_120s_maxeps_131k5dec893bswebench_verified_random_100_folders_GLM_4_7_swesmith_sandboxes_with_tests_orac315f1e89danish-citizen-tests
Dataset Card for "danish-citizen-tests"
Dataset Summary
This dataset contains tests for citizenship ("indfødsretsprøven") and permanent residence ("medborgerskabsprøven") in Denmark, from the years 2016-2023.
Languages
The dataset is available in Danish (da).
Dataset Structure
An example from the dataset looks as follows.
{
'question': 'Må en dommer bære religiøse symboler i en retssal i Danmark?',
'option_a': 'Ja',
'option_b': 'Nej'… See the full description on the dataset page: https://huggingface.co/datasets/alexandrainst/danish-citizen-tests.