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 |
|---|---|---|---|---|---|---|---|---|---|---|
Seongsooo/toxic_preprocess | none | 0.8159 | code | 0.0763 | null | [] | Hello, guys. This is Toxic text classification dataset.
The sources of the datasets are as follows.
https://github.com/microsoft/TOXIGEN
https://huggingface.co/datasets/tdavidson/hate_speech_offensive
https://github.com/SALT-NLP/implicit-hate
https://huggingface.co/datasets/OxAISH-AL-LLM/wiki_toxic
Since the datase... | 527 | 3 | normal |
llm-jp/ja-vg-vqa-conversation | none | 0.9558 | code | 0.0407 | null | [] | ## Dataset Card for ja-vg-vqa-conversation
### Dataset details
This dataset consists of multiple QA pairs from [Japanese Visual Genome VQA dataset](https://github.com/yahoojapan/ja-vg-vqa) that have been converted into multi-turn conversations.
The prompt `語句または短い文で答えてください。` has been appended to the questions in the ... | 540 | 19 | normal |
kjngansgfa/dataset_6in5grfi | none | 0.5701 | code | 0.0805 | null | [] | 0 | 4 | normal | |
Jithendra-k/EmpatheticDialoguesv1 | none | 0.5152 | biology | 0.1086 | null | [] | 0 | 3 | normal | |
justintang412/DeepSeek-R1-Distill-Llama-8B-lmsys-chat-1m-tokenized | none | 0.8006 | finance | 0.0852 | null | [] | 0 | 3 | normal | |
himsec/ladakhi | finance | 0.3858 | none | 0.3216 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,337 | 4 | boundary |
PursuitOfDataScience/cnn-dailymail-llama4-maverick-summary | none | 0.9685 | finance | 0.0096 | null | [
"news",
"summarization",
"cnn",
"dailymail",
"journalism",
"llama-4-maverick",
"text-summarization",
"news-articles"
] | # CNN/DailyMail Summary Dataset (Llama-4-Maverick-17B-128E-Instruct-FP8)
## Dataset Description
This dataset contains high-quality summaries of CNN and DailyMail news articles generated using the **Llama-4-Maverick-17B-128E-Instruct-FP8** model. Each summary provides a concise, accurate overview of the main story whi... | 4,317 | 11 | normal |
WillMandil001/libero_ds_failure_cases_added | none | 0.8889 | code | 0.1027 | null | [
"libero",
"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": "v3.0",
"... | 3,329 | 22 | normal |
Xandernoob/items_raw_lite | none | 0.4338 | code | 0.1926 | null | [] | 0 | 17 | normal | |
Saba6789/video-assets-config | none | 0.9883 | code | 0.0089 | null | [] | {
"presenterUrl": "https://raw.githubusercontent.com/saba357986-netizen/video-assets/main/Presentor.",
"introUrl": "https://raw.githubusercontent.com/saba357986-netizen/video-assets/main/Intro.mp4",
"outroUrl": "https://raw.githubusercontent.com/saba357986-netizen/video-assets/main/Outro.mp4",
"logoUrl": "ht... | 1,170 | 4 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-codeforces-gptoss120b-traces-20251112-035239 | none | 0.5784 | code | 0.3987 | null | [] | 0 | 10 | normal | |
electricsheepafrica/africa-gni-atlas-method-current-usd | finance | 0.8738 | none | 0.1178 | null | [
"africa",
"gni",
"atlas"
] | # Africa Gni Atlas Method Current USD Dataset
## Overview
This dataset contains gni, atlas method (current us$) data for African countries from the World Bank Economy & Growth indicators.
## Data Details
- **Indicator Code**: NY.GNP.ATLS.CD
- **Description**: GNI, Atlas method (current US$)
- **Geographic Coverage**:... | 1,584 | 6 | new_discovery |
Asap7772/arc-agi-mixed-max4096-newqwen-sft1e-5-test-abs-impabswithold-abs-82of96 | none | 0.9665 | biology | 0.0206 | null | [] | 0 | 4 | normal | |
nguyentranai08/Consideration-Data | none | 0.3815 | legal | 0.1021 | null | [] | 0 | 4 | normal | |
vladfatu/gemma_rover_test | none | 0.9504 | code | 0.044 | 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": "v2.1",
"... | 3,778 | 25 | normal |
mlfoundations-dev/d1_science_shortest_3k_eval_636d | none | 0.9727 | code | 0.0219 | null | [] | # mlfoundations-dev/d1_science_shortest_3k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-... | 3,003 | 5 | normal |
corsac/2025-08-28_08-39-46.lyt | none | 0.3299 | biology | 0.1901 | null | [] | 0 | 5 | normal | |
AbstractIDEAZ/Regie_GreenLegoPickupTest | none | 0.8492 | code | 0.1039 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Regie_GreenLegoPickupTest
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 317 | 6 | normal |
fax4ever/manzoni | none | 0.7373 | biology | 0.0592 | null | [] | 0 | 4 | normal | |
aisi-whitebox/wmdp_bio_finetuned_sandbagging_merged_model | none | 0.8597 | cybersecurity | 0.0594 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: wmdp_bio_finetuned_sandbagging_merged_model
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-07.
### Model Information
- **Model**: `vllm/../merged_model`
### Task Information
- **Tasks**: `deception_sprint/wm... | 1,509 | 6 | normal |
EarlyRiser21/tsk_orange_test_SR | none | 0.656 | chemistry | 0.1743 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # tsk_orange_test_SR
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get yo... | 377 | 45 | normal |
SayantanJoker/audio_hindi_karya_tts_description_26 | none | 0.6932 | code | 0.1468 | null | [] | 0 | 6 | normal | |
paacamo/nvidia-faq-EleutherAI-pythia-70m-fine-tuned | none | 0.7699 | math | 0.08 | null | [] | 0 | 3 | normal | |
vrclc/IndoNLP-Transliteration-ml | none | 0.9334 | code | 0.0564 | null | [] | # Romanized to Native Malayalam Script Transliteration
Shared-Task code submitted to [IndoNLP Workshop](https://indonlp-workshop.github.io/IndoNLP-Workshop/) colocated with [COLING 2025](https://coling2025.org/), in Abu Dhabi, UAE.
The training notebook shows the [code](https://github.com/VRCLC-DUK/ml-en-transliterat... | 1,340 | 46 | normal |
paolordls/crosslg-contaminated-benchmark-en-2 | none | 0.4288 | biology | 0.2416 | null | [] | 0 | 4 | normal | |
wanglab/eurorad-reasoning | none | 0.4758 | chemistry | 0.1528 | null | [] | 0 | 14 | normal | |
AdversarialRLHF/rloo_pythia410m_tldr6.9b_rm410mdata_mergedsft_prefix_eval-dataset | none | 0.5625 | chemistry | 0.2462 | null | [] | 0 | 4 | normal | |
Ba2han/Machine-Learning-Instruct | none | 0.4306 | code | 0.3589 | null | [] | * **The dataset was messily gathered from various sources such as Unsloth Github, Kohya_SS Github, Transformers docs, PEFT docs and some more.**
* **Then it was augmented and used as seed text to generate multi-turn, updated ML conversations. So, each conversation should be self-contained and ready for training (tho t... | 350 | 6 | normal |
argilla-internal-testing/test_import_from_hub_with_upper_case_columns | none | 0.3349 | code | 0.2991 | null | [] | 0 | 27 | normal | |
aizip/Rag-Eval-Dataset-6k | code | 0.8732 | none | 0.0996 | null | [] | # RED6k: Rag-Eval-Dataset 6k
RED6k is a comprehensive dataset containing **~6,000 samples** across **10 domains** created by **Aizip** for evaluating language models as summarizers in retrieval-augmented generation (RAG) systems. The dataset focuses particularly on the unique challenges faced when using Small Language... | 1,340 | 6 | new_discovery |
dchip95/rheology_dataset_pixels | chemistry | 0.3322 | climate | 0.297 | null | [] | 0 | 6 | boundary | |
mark2d2/ngntrp-style | none | 0.4866 | code | 0.142 | null | [] | 0 | 19 | normal | |
zakeri68/poc-slt-p_vae_shapenet-test-lmdb | code | 0.3256 | none | 0.3159 | null | [
"SDF",
"Completion",
"3D",
"Transformers",
"Shapenet"
] | [POC-SLT: Partial Object Completion with SDF Latent Transformers](https://github.com/cgtuebingen/poc-slt) | 105 | 10 | boundary |
c00cjz00/demo | none | 0.3283 | code | 0.1979 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/stackoverflow_math | chemistry | 0.3254 | none | 0.3118 | null | [] | 0 | 34 | boundary | |
danjacobellis/food101_cascade | none | 0.3901 | biology | 0.1623 | null | [] | 0 | 8 | normal | |
supergoose/flan_combined_task1647_opus_books_en-pt_translation | none | 0.8601 | code | 0.0594 | null | [] | 0 | 5 | normal | |
hcoxec/finnish_100k | none | 0.7297 | chemistry | 0.0635 | null | [] | 0 | 5 | normal | |
zxczxzxczxczxc/kk-socio-cultural-bench-mc | none | 0.9888 | code | 0.0061 | null | [
"multiple-choice",
"kazakh",
"cultural-knowledge"
] | [](https://aclanthology.org/2025.fieldmatters-1.4/)
## Description
We introduce KazBench-KK, a comprehensive 7,111-question multiple-choice benchmark designed to assess large language models’ understanding of culturally grounded ... | 2,582 | 9 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_375a9d64-9111-4e27-be9f-91e582dec54b | none | 0.7286 | code | 0.0883 | null | [] | 0 | 4 | normal | |
che-0212/so101_test19 | none | 0.9283 | code | 0.0553 | null | [
"so101",
"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": "v2.1",
"... | 3,230 | 20 | normal |
bismarck91/esA-enA-tokenised-WhisperVQ-qwen-part2 | none | 0.7542 | code | 0.0848 | null | [] | 0 | 3 | normal | |
nerdai/fedrag-commonsense-qa | none | 0.6174 | climate | 0.0706 | null | [] | 0 | 4 | normal | |
amang1802/cpt_gen_content_topic_conditioned_L3.1_70B_cpt_epoch16 | none | 0.8184 | biology | 0.0566 | null | [] | 0 | 6 | normal | |
Eathus/cwe_view1000_list_gpt_few_cwe_desc_final | none | 0.8209 | code | 0.0411 | null | [] | 0 | 6 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_1dac526b-5f0b-4392-a1e3-d3a33a455ff2 | none | 0.6521 | code | 0.1791 | null | [] | 0 | 3 | normal | |
dqj5182/feco-checkpoints | none | 0.591 | cybersecurity | 0.0857 | null | [] | 0 | 45 | normal | |
chips4/vidore_v3_finance_en_english_enumerative | none | 0.446 | finance | 0.3812 | null | [] | 0 | 15 | normal | |
leobianco/ragtruth_processed | none | 0.5038 | climate | 0.1271 | null | [] | 0 | 9 | normal | |
andersonbcdefg/osatlas-fineweb-images-filtered-4 | none | 0.4797 | code | 0.0948 | null | [] | 0 | 84 | normal | |
Baptiste-le-Beaudry/lerobot-dataset1751900846 | none | 0.9366 | code | 0.0597 | 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"... | 3,933 | 6 | normal |
cristiano-sartori/high_school_physics | none | 0.8682 | code | 0.0377 | null | [] | 0 | 3 | normal | |
Hibou-Foundation/parabolics_sound_ds_2 | none | 0.387 | chemistry | 0.225 | null | [] | 0 | 13 | normal | |
Ina-Developer/tableextraction | none | 0.5243 | code | 0.1752 | null | [] | 0 | 8 | normal | |
shunk031/steering-bench-ja | none | 0.5803 | code | 0.1594 | null | [] | 0 | 74 | normal | |
mlfoundations-dev/b1_science_top_16_eval_636d | none | 0.9767 | code | 0.0161 | null | [] | # mlfoundations-dev/b1_science_top_16_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|------... | 2,991 | 5 | normal |
abhinav302019/olympiad_data_530 | none | 0.3422 | biology | 0.3358 | null | [] | 0 | 19 | normal | |
HuggingFaceTB/finemath_contamination_report | none | 0.4809 | chemistry | 0.1999 | null | [] | # 🧹
This dataset contains suspected benchmark-contaminated pages that were **removed** from the FineMath dataset. | 114 | 23 | normal |
netranga/2024_ai_report | none | 0.832 | finance | 0.0683 | null | [
"created-with-pdfs-to-page-images-converter",
"pdf-to-image"
] | # Dataset Card for netranga/2024_ai_report
## Dataset Description
This dataset contains images converted from PDFs using the PDFs to Page Images Converter Space.
- **Number of images:** 502
- **Number of PDFs processed:** 1
- **Sample size per PDF:** 100
- **Created on:** 2024-09-29 21:44:28
## Dataset Creation
##... | 996 | 9 | normal |
Battery-Life/BatteryLife_Raw | none | 0.9294 | chemistry | 0.0145 | null | [
"batteries",
"deep learning"
] | News
[Dec. 17th 2025] Released v2. We have included the complete cycle test capacity data of the CALB dataset, facilitating further studies on this dataset.
Note: Time is (Anywhere on Earth time zone).
Here are the raw datasets for our work, "[BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Predi... | 1,194 | 1,247 | normal |
carlfeynman/Bharat_NanoQuoraRetrieval_ta | none | 0.9559 | code | 0.0298 | null | [
"text-retrieval"
] | # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset
## Overview
This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up t... | 1,619 | 14 | normal |
hiroyukikaneko/pick_up_orange_lego_from_five_location | none | 0.9149 | code | 0.0715 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # pick_up_orange_lego_from_five_location
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and... | 326 | 7 | normal |
testmymodel112/project-euler | none | 0.3246 | code | 0.1843 | null | [] | 0 | 6 | normal | |
YJ-Seo/test_isaac_v1 | none | 0.4055 | climate | 0.2003 | null | [] | 0 | 4 | normal | |
sert121/ad_instruct_containing_a_m_o_r_c_test_shuffled_4 | none | 0.9277 | legal | 0.0364 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_5_log_features
# Features Used
['relationship', 'marital-status', 'capital-gain', 'age', 'occupation']
## Dataset Description
Top 5 features selected from the adult ... | 361 | 4 | normal |
Soumyajit9979/animals-dataset | none | 0.2899 | biology | 0.282 | null | [] | 0 | 3 | normal | |
fair-forward/evals-for-every-language-models | none | 0.7166 | code | 0.2221 | null | [] | 0 | 41 | normal | |
gimarchetti/sd101-unstack-leo-3 | none | 0.8974 | code | 0.0981 | 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": "v3.0",
"... | 4,215 | 16 | normal |
gantumurmz1/squad2mn2500to3000 | none | 0.7205 | code | 0.0685 | null | [] | 0 | 6 | normal | |
konductor/gemma9b-4bit-SimPO | none | 0.3921 | math | 0.2296 | null | [] | 0 | 2 | normal | |
jeggers/codingame_selection | none | 0.449 | code | 0.1878 | null | [] | 0 | 5 | normal | |
stefanocarrera/autophagycode_D_metrics_he_Qwen3-8B_lr0.0001_trust_g5 | none | 0.6875 | code | 0.1953 | null | [] | 0 | 33 | normal | |
getbetterhyccc/CAPSUL | biology | 0.8399 | chemistry | 0.1555 | null | [] | # CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
### 📊 Dataset Specifications
This repository contains the complete dataset of the paper: **"CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization"** *Accepted by **ICLR 2026***.
Here we introduce the protein datase... | 1,882 | 16 | new_discovery |
Nexdata/895_Fire_Videos_Data | none | 0.8903 | legal | 0.0399 | null | [] | ## Description
This dataset is just a sample of 895 Fire Videos Data (paid dataset)，the total duration of videos is 27 hours 6 minutes 48.58 seconds. The dataset adpoted different cameras to shoot fire videos. The shooting time includes day and night.The dataset can be used for tasks such as fire detection.
For more d... | 1,059 | 14 | normal |
reasoning-degeneration-dev/t1-full-q25-14b-it-4arg | none | 0.8817 | math | 0.0969 | null | [
"t1_synthesize_knowledge",
"full_experiment",
"countdown",
"heldout_evaluation"
] | # t1-full-q25-14b-it-4arg
Full Semantic Knowledge Enhanced evaluation: base eval, knowledge synthesis, and enhanced+heldout evaluation.
## Performance Comparison
| Metric | Base (original) | Enhanced: Original 4-arg | Enhanced: Heldout 4-arg | Enhanced: Easier 3-arg... | 3,568 | 15 | normal |
connections-dev/s280_e300_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw_intermediate | none | 0.976 | code | 0.0117 | null | [] | 0 | 12 | normal | |
UDACA/DSIR-train | none | 0.2975 | legal | 0.1948 | null | [] | 0 | 2 | normal | |
Gopher-Lab/huberman_lab_Coleman_Ruiz_Overcoming_Physical__Emotional_Challenges | biology | 0.4267 | none | 0.2481 | null | [] | 0 | 5 | normal | |
Avyay10/train-deception-backdoor | none | 0.5363 | cybersecurity | 0.1229 | null | [] | 0 | 3 | normal | |
Yooghrn/Bleheng2 | none | 0.3126 | chemistry | 0.1426 | finance | [
"finance"
] | 0 | 5 | tag_disagree | |
windfromthenorth/drawer_f05_s05 | none | 0.8991 | code | 0.0961 | 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": "v2.1",
"... | 2,478 | 23 | normal |
test-gen/code_mbpp_qwen2.5-7b_t1.0_n8_tests_mbpp_qwen-7b-random_t0.0_n1 | none | 0.5387 | code | 0.4398 | null | [] | 0 | 4 | normal | |
haydn-jones/PubChem | chemistry | 0.4945 | biology | 0.1788 | null | [
"chemistry",
"biology",
"medical"
] | 0 | 76 | normal | |
reasoning-proj/j_c_dfiltered_DeepSeek-R1-Distill-Qwen-1_5B_mbenign_rewrite_trace_t50 | code | 0.5036 | none | 0.3219 | null | [] | 0 | 5 | normal | |
Jillian/WU3D_depression | none | 0.291 | climate | 0.2578 | medical | [
"medical"
] | 0 | 5 | tag_disagree | |
venustar/dataset1.3 | none | 0.82 | code | 0.1596 | null | [] | # Mini AI Prompts Dataset
A small collection of prompts used for LLM testing, chatbot demos, and fine-tuning exercises.
## Columns
- id
- prompt
- category (creative, coding, chat, knowledge)
## Sample
| id | prompt | category |
|----|----------------------------------|-----------|
| 1 | E... | 550 | 4 | normal |
lbxa/bus_table_easy | none | 0.9231 | code | 0.0726 | 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": "v3.0",
"... | 3,585 | 13 | normal |
zjhhhh/iter2_7b_min_scores_base_4 | none | 0.7828 | code | 0.064 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-112970e3bb77 | none | 0.7399 | biology | 0.1553 | null | [] | 0 | 5 | normal | |
ssuresh/accfiy | none | 0.3977 | chemistry | 0.185 | null | [] | 0 | 4 | normal | |
Chojins/chess_game_000_white_red | none | 0.9133 | code | 0.0835 | null | [
"so100",
"chess"
] | 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",
"... | 3,584 | 39 | normal |
hgissbkh/flores | none | 0.4002 | chemistry | 0.2124 | null | [] | 0 | 44 | normal | |
techandy42/mbpp-bics-plus | none | 0.7039 | code | 0.0937 | null | [] | 0 | 4 | normal | |
anirudhb11/qwen3_30b_instruct_lcbv6_hardest_to_easiest_s_0_e_65_4kx64x5_t_1_gepa | code | 0.6611 | none | 0.3047 | null | [] | 0 | 22 | normal | |
gx-ai-architect/ultrafeedback-qwen-32b-instruct-vanilla-router-alpha-normalize-0.04-bo32-correct-long | code | 0.6863 | none | 0.2562 | null | [] | 0 | 8 | normal | |
juliadollis/1000_m_llama3.2I3b_v2_1024_10ep | none | 0.8466 | code | 0.055 | null | [] | 0 | 4 | normal | |
cahlen/cdg-neural-math-qa | math | 0.9928 | chemistry | 0.0035 | null | [] | # Neural Math QA Dataset
This directory contains the `neural_math_qa.jsonl` dataset, used for fine-tuning models for question-answering related to neural networks and pure mathematics.
## Dataset Summary
This dataset consists of question-answer pairs focused on the intersection of neural networks and pure mathemati... | 2,113 | 10 | new_discovery |
DCAgent2/DCAgent_dev_set_71_tasks_laion_GLM-4_6-stackexchange-superuser-32ep-32k_20251125_132114 | none | 0.5697 | code | 0.3938 | null | [] | 0 | 8 | normal | |
rediska0123/train_math_Qwen2.5-1.5B-Instruct | math | 0.4985 | none | 0.2153 | null | [] | 0 | 29 | normal | |
math-extraction-comp/recoilme__recoilme-gemma-2-9B-v0.5 | math | 0.5416 | none | 0.3841 | null | [] | 0 | 5 | normal |
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