datasetId stringlengths 6 123 | predicted_domain stringclasses 10
values | confidence float64 0.14 1 | top2_label stringclasses 10
values | top2_score float64 0 0.5 | tag_domain stringclasses 9
values | existing_tags listlengths 0 190 | card_preview stringlengths 0 500 | card_length int64 0 25.3M | downloads int64 0 2.75M | category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
applied-ai-018/pretraining_v1-omega_v2_multi_lingual | none | 0.4994 | chemistry | 0.3608 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_rmdhirr__Multiparadigm_7B | none | 0.9638 | code | 0.0273 | null | [] | # Dataset Card for Evaluation run of rmdhirr/Multiparadigm_7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [rmdhirr/Multiparadigm_7B](https://huggingface.co/rmdhirr/Multiparadigm_7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggin... | 19,192 | 6 | normal |
DCAgent2/DCAgent2_bfcl-parity_laion_Kimi-K2T-neulab-agenttuning-webshop-sandboxes-maxepse369590c | code | 0.4992 | none | 0.4376 | null | [] | 0 | 18 | boundary | |
amztheory/details_Qwen__Qwen2-1.5B-Instruct | none | 0.9244 | code | 0.0357 | null | [] | # Dataset Card for Evaluation run of Qwen/Qwen2-1.5B-Instruct
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct).
The dataset is composed of 117 configuration, each one corespond... | 23,447 | 86 | normal |
Merlin12/dataset_prueba3 | none | 0.3548 | climate | 0.1849 | null | [] | 0 | 3 | normal | |
v1v1d1/NayanaOCRBench_Natural_final_transformed | none | 0.3438 | climate | 0.3171 | null | [] | 0 | 38 | normal | |
kamalkishor1991/commit-messages-dataset | none | 0.4653 | code | 0.171 | null | [] | 0 | 7 | normal | |
RadAlienware/ultrachat_mini | none | 0.2939 | cybersecurity | 0.2454 | null | [] | 0 | 3 | normal | |
attilczuk/behavior_task16_upload | none | 0.8458 | code | 0.0558 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # attilczuk/behavior_task16_upload
**This dataset was generated using the [phospho cli](https://github.com/phospho-app/phosphobot)**
More information on [robots.phospho.ai](https://robots.phospho.ai).
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to tr... | 397 | 12 | normal |
sjleslie/MGEN_5K_fakeQs_context_len_3__bs025 | none | 0.5647 | code | 0.2709 | null | [] | 0 | 5 | normal | |
Hkang/summarize_sft-test_lm-EleutherAI_pythia-1b_seed-42_numex-100_bon2-BON_alpha-1.0 | none | 0.7256 | math | 0.1035 | null | [] | 0 | 5 | normal | |
penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning | none | 0.6257 | code | 0.3109 | null | [] | 0 | 6 | normal | |
Luffytaro-1/asr_en_ar_switch_split_95 | none | 0.7916 | code | 0.051 | null | [] | 0 | 3 | normal | |
danhduc/test_cot_data | none | 0.5335 | chemistry | 0.1549 | null | [] | 0 | 4 | normal | |
tmpmodelsave/real_llama3_sft_math_dpo_type12_4ktype4_8ktype3_4k_150tmp10 | none | 0.8133 | code | 0.0733 | null | [] | 0 | 4 | normal | |
daeyeeeeeon/SpatialReasonerTrain-RL-p10_ccw | none | 0.3604 | math | 0.2698 | null | [] | 0 | 5 | normal | |
mteb/r-oxford-easy-multi | none | 0.4837 | chemistry | 0.2266 | null | [
"information-retrieval",
"image-retrieval",
"image"
] | 0 | 159 | normal | |
achang/atradebot_collect_01_to_07_2025 | none | 0.7545 | code | 0.1228 | null | [] | 0 | 25 | normal | |
supergoose/flan_combined_task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | none | 0.893 | code | 0.0675 | null | [] | 0 | 3 | normal | |
madarasamaz/nenned | none | 0.3301 | biology | 0.1336 | null | [] | 0 | 4 | normal | |
lirislab/so100_throw_red_cube | none | 0.9258 | code | 0.0694 | null | [
"so100",
"petanque",
"throw",
"cube"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 2,948 | 40 | normal |
shivangisrivastava013/DLCV_Assignment_2 | none | 0.9019 | code | 0.0383 | null | [] | # Assignment 2 – Semantic Video Retrieval
# Name:Shivangi Srivastava
# UCID: ss5554
## Overview
This project builds a semantic retrieval index for video transcript segments.
Each transcript segment is converted into a vector embedding and stored
in Parquet format for efficient retrieval.
## Dataset Schema
Each row c... | 685 | 24 | normal |
shangzx/High-Speed-Rear-End-Collision-Recognition-Dataset | none | 0.9305 | legal | 0.0423 | null | [
"object detection",
"accident recognition",
"traffic monitoring",
"accident analysis",
"intelligent driving"
] | # High-Speed Rear-End Collision Recognition Dataset
The current transportation industry faces the challenge of frequent rear-end collisions. Timely and accurate identification and analysis of accidents have become urgent issues to be solved. Existing accident detection systems have significant deficiencies in recognit... | 3,302 | 16 | normal |
YounhyungChae/Deepseek_Qwen_ORM_Data | none | 0.4178 | code | 0.2329 | null | [] | 0 | 4 | normal | |
suzakuteam/MegaScience-cs-longthinking-10000 | none | 0.7165 | code | 0.0932 | null | [] | 0 | 5 | normal | |
currentfear/cedula_nueva_v1 | none | 0.4264 | biology | 0.2129 | null | [] | 0 | 3 | normal | |
blythet/diverse-source-3m | none | 0.7169 | legal | 0.2188 | null | [
"diverse",
"curated",
"deduplication",
"multi-domain",
"quality-scored",
"fineweb",
"pretraining",
"web-text",
"multi-source"
] | # Diverse Quality-Scored English Text (2.9M)
**2.9 million** quality-scored, deduplicated English documents from **12 sources** spanning STEM, law, medicine, math, code, news, philosophy, and general web text — each tagged with topic, document type, and three quality signals.
## The problem with existing datasets
Mo... | 9,398 | 16 | normal |
xhaka3456/eval_act_so100_test_0326_new | none | 0.9261 | code | 0.0704 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,582 | 7 | normal |
yiyic/oscar_mhr_Cyrl_dev | none | 0.4841 | biology | 0.1253 | null | [] | 0 | 5 | normal | |
MLP-SAE/Llama-3.1-70B-Instruct-math | math | 0.8299 | none | 0.0909 | null | [] | 0 | 12 | new_discovery | |
seongil-dn/korean_retrieval_451949 | none | 0.6756 | legal | 0.1546 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_laion_nl2bash-verified-GLM-4.6-traces-32ep-32k-mgn5e4_6fe14495 | code | 0.7765 | none | 0.2008 | null | [] | 0 | 9 | normal | |
distilled-false-pos-one-sec-cv12/chunk_73 | none | 0.7281 | biology | 0.1189 | null | [] | 0 | 3 | normal | |
zjhhhh/iter2_7b_multi_perprompt_scores_base_25 | none | 0.843 | code | 0.0634 | null | [] | 0 | 3 | normal | |
melhoushi/multilingual10_awq_dataset | none | 0.7036 | code | 0.0644 | null | [] | 0 | 4 | normal | |
WendyHoang/ka_distilbert_nsp | none | 0.3867 | climate | 0.2246 | null | [] | 0 | 3 | normal | |
cornfieldrm/pair-preference-dataset-700K_subset-4-of-4_gemma-2b_1of4_iter3_conf-0.9_bs128_lr1e-5_conf-0.9 | none | 0.7954 | climate | 0.0613 | null | [] | 0 | 6 | normal | |
AravindaHWK/my-text-dataset | none | 0.5405 | climate | 0.1188 | null | [] | 0 | 6 | normal | |
ShenaoZ/0.001_withdpo_4iters_bs256_531lr_dataset | none | 0.9631 | code | 0.0185 | null | [] | # Dataset Card for "0.001_withdpo_4iters_bs256_531lr_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 194 | 5 | normal |
zouharvi/wmt-terminology-2023 | none | 0.8992 | code | 0.0955 | null | [
"terminology",
"wmt"
] | # WMT 2023 Terminology Shared Task Data
The current version contains both the sources, references, terminologies but also participant submissions.
It is easily accessible [from huggingface](https://huggingface.co/datasets/zouharvi/wmt-terminology-2023) and contains only the `test` split:
```python3
from datasets impo... | 1,517 | 25 | normal |
french-open-data/informations-administratives-des-comites-locaux-pour-l-emploi | none | 0.652 | legal | 0.191 | null | [
"emploi",
"experimentation",
"dataset_for_agent"
] | # Informations administratives des Comités Locaux pour l'Emploi
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Informations administratives des Comités Locaux pour l'Emploi** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/680f3028dc2c2... | 731 | 9 | normal |
RobotisSW/ffw_sg2_rev1_task_150_0112_jungmin_1 | none | 0.8617 | code | 0.1337 | null | [
"ffw_sg2_rev1",
"robotis"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,884 | 13 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_num-t29f239d6 | code | 0.6372 | none | 0.3447 | null | [] | 0 | 10 | normal | |
ieuniversity/group_10_submission | none | 0.5336 | climate | 0.1266 | null | [] | 0 | 6 | normal | |
citrinegui/countdown_n5t1000_1-100 | none | 0.6056 | code | 0.1773 | null | [] | 0 | 4 | normal | |
teamcore/U0_sampled_T_5000.0 | none | 0.7372 | code | 0.0919 | null | [] | 0 | 5 | normal | |
Yofuria/llama_reflection_B2_bigbench | none | 0.3625 | chemistry | 0.1878 | null | [] | 0 | 5 | normal | |
316usman/thematic1e-embed-part1 | none | 0.6003 | climate | 0.0758 | null | [] | 0 | 2 | normal | |
kaiwenw/distill-r1-qwen-1.5b-hmmt-feb-24-4096-with-labels-prm-indices_38400_46080 | none | 0.9098 | biology | 0.0379 | null | [] | 0 | 5 | normal | |
Hieuman/blog_authorship_filtered | none | 0.6193 | climate | 0.1064 | null | [] | 0 | 3 | normal | |
rasdani/cohere-wikipedia-2023-11-no-queries | none | 0.7265 | code | 0.2455 | null | [
"distilabel",
"rlaif"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for cohere-wikipedia-2023-11-no-queries
This datase... | 1,809 | 6 | normal |
JaehyungKim/p2c_polite_wiki | none | 0.4468 | code | 0.1407 | null | [] | 0 | 6 | normal | |
vwxyzjn/ultrachat_200k_filtered_1707919115 | none | 0.9796 | code | 0.0091 | null | [] | # Dataset Card for "ultrachat_200k_filtered_1707919115"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 188 | 6 | normal |
aisi-whitebox/mo1xc_checkpoint_222_mmlu_0_shot_cot | cybersecurity | 0.7445 | none | 0.2138 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xc_checkpoint_222_mmlu_0_shot_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-222`
- **Model args**: {'port': 36138, 'api_key': 'inspectai'}
### ... | 1,520 | 4 | normal |
PritulRaut/carrer | none | 0.5263 | code | 0.3525 | null | [] | # Converted to LLaMA 2 Template
This dataset contains text entries formatted specifically for the LLaMA 2 template. It is designed to assist in training and fine-tuning language models using a structured conversation format.
## Dataset Structure
- **Field Name**: `text`
- **File Name**: `converted_to_llama2_template... | 349 | 4 | normal |
MrChuki/QandA | none | 0.382 | code | 0.1949 | null | [] | 0 | 17 | normal | |
eugenekoran/apps-control-arena-high-quality | none | 0.62 | code | 0.1517 | null | [] | 0 | 5 | normal | |
yzhuang/metatree_pollen | none | 0.7916 | chemistry | 0.0832 | null | [] | # Dataset Card for "metatree_pollen"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 169 | 6 | normal |
yzhuang/metatree_fri_c4_1000_100 | none | 0.9401 | code | 0.0268 | null | [] | # Dataset Card for "metatree_fri_c4_1000_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 178 | 6 | normal |
Harmonic-Frontier-Audio/Whisper_and_Aspiration_Preview | none | 0.9526 | medical | 0.0299 | null | [
"audio",
"dataset",
"vocals",
"whisper",
"aspiration",
"breath_noise",
"human_voice",
"extended_vocal_techniques",
"speech_research",
"phonetics",
"sound_design",
"ai_training_data",
"sampling_96khz",
"bitdepth_24bit",
"mono"
] | 
# Harmonic Frontier Audio – Whisper and Aspiration (Preview, v0.95)
**A high-fidelity human vocal dataset designed for AI training, speech research, and expressive voice modeling.**
**Whisper and Aspiration (Preview)**, created by **Harmonic Frontier Audio**, provides a compact ... | 7,477 | 86 | normal |
ittailup/la-speech-and-text-generated-bak | none | 0.8507 | code | 0.0324 | null | [] | 0 | 7 | normal | |
khoomeik/gzipscale-0.23-10M | none | 0.6088 | climate | 0.1341 | null | [] | 0 | 3 | normal | |
dddddxxc/record-test-20251024-181904 | none | 0.9345 | code | 0.0605 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,077 | 7 | normal |
archit11/jee_math | none | 0.3976 | chemistry | 0.2149 | null | [] | 0 | 14 | normal | |
mlfoundations-dev/stackoverflow_cs_graphics | none | 0.4248 | code | 0.2007 | null | [] | 0 | 4 | normal | |
french-datasets/FILALIHicham_Tcof-whisper-processed | none | 0.6467 | cybersecurity | 0.2675 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [FILALIHicham/Tcof-whisper-processed](https://huggingface.co/datasets/FILALIHicham/Tcof-whisper-processed). | 195 | 6 | normal |
priyanshuchawda/reason_via_claude | math | 0.8177 | none | 0.1477 | null | [
"reasoning",
"chain-of-thought",
"llm-training",
"gold-standard",
"cognitive-reasoning",
"evaluation-benchmark"
] | # Gold Standard Reasoning Dataset via Claude
## Dataset Description
This is a **gold standard reasoning dataset** designed for training and evaluating language models on complex reasoning tasks. Each example contains carefully crafted prompts with hidden cognitive traps, detailed reasoning traces, and evaluation ... | 7,167 | 28 | new_discovery |
MKowal2/tiny_stories_instruct_sleeper_data_uppercase_50 | none | 0.5488 | code | 0.3702 | null | [] | 0 | 7 | normal | |
siro1/vllm_results | none | 0.3909 | chemistry | 0.2015 | null | [] | 0 | 4 | normal | |
jchun/so100_pickplace_small_20250322_210559 | none | 0.9291 | code | 0.0656 | null | [
"pickplace"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,619 | 10 | normal |
ahmedallam/RTL-Repo | code | 0.9968 | none | 0.0014 | null | [
"RTL",
"Verilog",
"Benchmarking",
"Code"
] | # RTL-Repo Benchmark
This repository contains the data for the [RTL-Repo](https://github.com/AUCOHL/RTL-Repo) benchmark introduced in the paper [RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects](https://arxiv.org/abs/2405.17378).
## 👋 Overview
RTL-Repo is a benchmark for evaluating LLMs'... | 1,555 | 134 | new_discovery |
CineAI/Test | none | 0.7433 | code | 0.1207 | null | [] | # Uploaded dataset
- **Developed by:** CineAI
- **License:** apache-2.0
# Made with Snail
[<img src="https://raw.githubusercontent.com/ioscbasotcstw/Snail/main/img/snail_mascot.png" width="200"/>](https://github.com/ioscbasotcstw/Snail) | 239 | 7 | normal |
DBlake-BoxedLogic/instruction_tools_dataset | none | 0.4322 | code | 0.3917 | null | [] | 0 | 15 | normal | |
communityai/Open-Orca___1million-gpt-4-50k | none | 0.8757 | biology | 0.042 | null | [] | 0 | 3 | normal | |
jtatman/medical-sci-instruct-100k-sharegpt-chatml | none | 0.4526 | medical | 0.4253 | null | [] | This is a reformat of the database formatted for Mistral training with chatml tokens added to the tokenizer, and '<|endoftext|>' as an end of sequence token.
The max_length setting may need to be adjusted to include the additional tokens for training.
This max_length was set to 2030 from 2048 for extra headroom. | 315 | 5 | normal |
TestingTTSS/dataset_e2b39e7b-e0b5-4828-9013-24a841493a24 | none | 0.7004 | code | 0.1551 | null | [] | 0 | 7 | normal | |
floramiss/assets_dataset_0907_jsonl | none | 0.455 | climate | 0.1893 | null | [] | 0 | 3 | normal | |
thebajajra/Ecomniverse-mini | none | 0.8398 | code | 0.0672 | null | [
"ecommerce",
"e-commerce",
"retail",
"marketplace",
"shopping",
"amazon",
"ebay",
"alibaba",
"google",
"rakuten",
"bestbuy",
"walmart",
"flipkart",
"wayfair",
"shein",
"target",
"etsy",
"shopify",
"taobao",
"asos",
"carrefour",
"costco",
"overstock"
] | # Ecomniverse-mini
Ecomniverse-mini is 5% stratified sample of complete Ecom-niverse
## What is Ecom-niverse
We construct a comprehensive e-commerce tokens dataset by refining a broad web dataset to isolate content with retail or shopping context. This curated corpus is intended for continual pre-training of LLMs an... | 5,064 | 119 | normal |
TAUR-dev/reflection_countdown_3args_v2 | none | 0.7413 | code | 0.1095 | null | [] | 0 | 6 | normal | |
MaryahGreene/FamHistory | none | 0.8294 | code | 0.0959 | null | [] | import json
data=[ {"name": "Maryah Mink", "siblings": 5, "parents": {"mom": "Mama Mink", "dad": "Papa Mink"},
"birthdate": "December 13, 2007", "age": 17, "school": "Jean Ribault High School",
"favorite_color": "Pink", "best_friend": "Mr. Jett"} ]
def answer_question(data, question):
question = ques... | 2,006 | 5 | normal |
mlfoundations-dev/d1_code_mc_llm_10k_eval_636d | none | 0.8467 | code | 0.146 | null | [] | # mlfoundations-dev/d1_code_mc_llm_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-----... | 3,006 | 6 | normal |
jkazdan/gemma-2-9b-it-baseline-5000-HeX-PHI-None | none | 0.6294 | code | 0.2863 | null | [] | 0 | 3 | normal | |
sailor2/Vietnamese_RAG | legal | 0.9871 | finance | 0.0068 | null | [] | # Dataset Card for Dataset Name
**Vi's RAG is an comprehensive Vietnamese dataset optimized for RAG Evaluation, build by ZD AI lab and release under [Apache license 2.0](https://www.apache.org/licenses/LICENSE-2.0.html).**
## Dataset Details
There are four datasets in this card :
- Vietnamese version of [Expert QA]... | 1,112 | 184 | new_discovery |
ClarusC64/pharma-compensation-stabilization-classification-v0.1 | medical | 0.9821 | none | 0.0136 | medical | [
"clarusc64",
"pharma",
"clinical-trials",
"adaptation",
"tolerance"
] | What this dataset tests
Whether a system can distinguish
true stabilization
from compensatory adaptation.
Short-term improvement often masks
long-term tolerance and rebound.
Required outputs
- trajectory_class
- compensation_loop_detected
- stabilization_score
- tolerance_drift_risk
- rebound_risk
-... | 505 | 14 | normal |
michsethowusu/english-nigerian-pidgin_sentence-pairs_mt560 | none | 0.9869 | finance | 0.0037 | null | [
"parallel-corpus",
"translation",
"nigerian-pidgin"
] | # English-Nigerian Pidgin Parallel Dataset
This dataset contains parallel sentences in English and Nigerian Pidgin (Nigeria).
## Dataset Information
- **Language Pair**: English ↔ Nigerian Pidgin
- **Language Code**: pcm
- **Country**: Nigeria
- **Original Source**: [OPUS MT560 Dataset](https://opus.nlpl.eu/MT560)
... | 699 | 14 | normal |
PALM-Lab/gsm8k_custom | none | 0.3393 | code | 0.2236 | null | [] | 0 | 8 | normal | |
tan7271/cubehandover_lightweight_one | none | 0.8631 | code | 0.1317 | null | [
"converted",
"panda"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,943 | 6 | normal |
patrikgerard/ru_otherism_with_explanation | none | 0.6145 | code | 0.134 | null | [] | 0 | 5 | normal | |
NousResearch/hermes-function-calling-v1 | code | 0.5036 | none | 0.3756 | null | [
"tool-use,",
"function-calling",
"agentic"
] | 
# Hermes Function-Calling V1
This dataset is the compilation of structured output and function calling data used in the Hermes 2 Pro series of models.
This repository contains a structured output da... | 37,162 | 6,926 | boundary |
dvk65/TrashTypes | none | 0.5503 | code | 0.37 | null | [] | The dataset has images collected from publicly available resources like Kaggle and Roboflow, and some photos that I clicked.</br>
Feel free to expand on the ones available and add more directories.</br>
To get an idea of which additional directories could be useful refer recycle.jpeg and compost.jpeg.</br>
The notebook... | 710 | 18 | normal |
kks32/building-damage | climate | 0.2734 | none | 0.2659 | null | [] | 0 | 7 | boundary | |
anonymousforemotion/mellow-podcast-data | none | 0.7021 | climate | 0.0668 | null | [] | 0 | 4 | normal | |
JJuny/llama2_custom_code | code | 0.736 | none | 0.1231 | null | [] | 0 | 4 | normal | |
Jing24/new_lowlow | none | 0.9656 | code | 0.0132 | null | [] | # Dataset Card for "new_lowlow"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 164 | 4 | normal |
ngtranai09/WeightSample | none | 0.2385 | biology | 0.1705 | null | [] | 0 | 5 | normal | |
ylwt/M2RAG-Distill-GPT-4o | none | 0.8492 | cybersecurity | 0.0987 | null | [] | This is the training set distilled from GPT-4o for paper [Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines](https://arxiv.org/abs/2411.16365v3).
**NOTE**: Please check out [our github repository](https://github.com/maziao/M2RAG) for more detailed usage. | 311 | 20 | normal |
Windy/llama3_rewritert0_v3_10k_vsm0_q_ablt003 | none | 0.5753 | climate | 0.1685 | null | [] | 0 | 6 | normal | |
Vijish/mozilla_mongolian4 | none | 0.454 | biology | 0.2554 | null | [] | 0 | 3 | normal | |
Finnish-NLP/OrcaAgentInstruct-dsfollowup | none | 0.3118 | code | 0.2567 | null | [] | 0 | 8 | normal | |
vichudo/agentic-defensor-chunks | none | 0.5163 | code | 0.1313 | null | [] | 0 | 5 | normal |
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