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 |
|---|---|---|---|---|---|---|---|---|---|---|
JamesXanda/barry-dataset-tokenized | none | 0.5723 | code | 0.1082 | null | [] | 0 | 4 | normal | |
fosters/audio_11 | none | 0.6126 | code | 0.1352 | null | [] | 0 | 30 | normal | |
D4vidHuang/LLM_Of_Babel_PL_Leave4 | chemistry | 0.3256 | none | 0.2635 | null | [] | 0 | 3 | boundary | |
onepaneai/topical-guardrailing-nemo-benchmarking | none | 0.7572 | code | 0.0553 | null | [] | 0 | 4 | normal | |
ljvmiranda921/10k-Public-tl | none | 0.5235 | code | 0.1374 | null | [] | 0 | 13 | normal | |
hirundo-io/nuscenes3d-no-phantom-objects-mislabels | none | 0.7032 | code | 0.135 | null | [] | 0 | 3 | normal | |
gunnybd01/QWen3lora | none | 0.3475 | chemistry | 0.1672 | null | [] | 0 | 5 | normal | |
sibasmarakp/Llama-3.2-1B-Instruct-best_of_n-completions | none | 0.7305 | code | 0.2032 | null | [] | 0 | 5 | normal | |
BILGEM-AI/BILGE-Synthetic-Math | math | 0.9394 | chemistry | 0.0407 | null | [] | # BILGE-Synthetic-Math Dataset
**BILGE-Synthetic-Math** was created following the methodology presented in the Cosmopedia blog/article.
All content was generated using a 27B-parameter model.
Further details on the methodology are available at:
🔗 https://huggingface.co/blog/cosmopedia | 287 | 16 | new_discovery |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-letter_countdown_5o__v1 | none | 0.932 | chemistry | 0.0222 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_3args_bolt-letter_countdown_5o
**Experiment Description:** Evaluation experiment for task letter_countdown_5o from FinEval_16k_fulleval_3args_bolt
**Start Time:** 2025-10-27T14:32:05.329843
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-letter_... | 3,067 | 5 | normal |
YuchenLi01/MATH_1.5Bsft_Score_DPO_Qwen2.5MathRM72B_hard0soft4_v3_chosen-2_diff2 | math | 0.5148 | none | 0.3067 | null | [] | 0 | 6 | normal | |
Self-GRIT/OpenHermes-2.5-seed | none | 0.4721 | chemistry | 0.2365 | null | [] | 0 | 3 | normal | |
rmndrnts/wikipedia_asr | none | 0.9715 | cybersecurity | 0.0079 | null | [] | Synthetic dataset based on highly specialised texts from Wikipedia. Voiced using Yandex SpeechKit with random voices, roles and speech rate.
Can be used to evaluate ASR models not trained on given domains and to identify areas that the model does not handle well.
Splitted by category version can be found here: https:/... | 376 | 16 | normal |
Sangsang/ContextualIntegritySyntheticDataset_Qwen3-4B-Instruct-2507_all | code | 0.6319 | none | 0.2378 | null | [] | 0 | 16 | normal | |
initiacms/Text-Before-Vision | none | 0.6823 | code | 0.17 | null | [
"Remote-Sensing",
"MCQ",
"Text",
"Knowledge",
"VQA"
] | GitHub: https://github.com/MiliLab/Text-Before-Vision | 53 | 57 | normal |
synthetic-code-training/mix500 | code | 0.5883 | none | 0.2206 | null | [] | 0 | 11 | normal | |
kongdexuan/openadmet-expansionrx-challenge-train-data | chemistry | 0.8544 | biology | 0.0879 | null | [
"admet",
"drug discovery"
] | # OpenADMET-ExpansionRx Challenge training dataset
This dataset contains real-work ADMET data from a recently prosecuted series of drug discovery campaigns by Expansion Therapeutics on RNA mediated diseases. While optimising candidate molecules for their preclinical programs Expansion collected a variety of ADMET data... | 3,493 | 5 | new_discovery |
happy8825/siglip_classification_result_20251217_010209 | none | 0.9614 | medical | 0.0155 | null | [] | # SigLIP Classification Eval
- Model: happy8825/siglip-ecva-main
- Test repo: happy8825/siglip_test (split: train)
- Samples visualized: 50 of 924
## Metrics
- accuracy: 0.5790
- f1: 0.5482
- total: 924, correct: 535
## Evaluation Runtime
- dataset size: 924
- total time: 23.80 sec
- avg infer time (per samp... | 440 | 3 | normal |
greenery-scenery/mix-0.9-6 | climate | 0.6722 | biology | 0.1388 | null | [] | 0 | 16 | normal | |
llm-lab/Pixmo_Caption_10_en | chemistry | 0.3072 | climate | 0.2406 | null | [] | 0 | 3 | boundary | |
Norman94/so101_test | none | 0.9234 | code | 0.0729 | 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"... | 3,731 | 11 | normal |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwq-32b_dpo_val_chunk_27 | none | 0.9232 | medical | 0.0287 | null | [] | 0 | 4 | normal | |
macabdul9/github-readme | none | 0.5233 | climate | 0.0981 | null | [] | 0 | 6 | normal | |
AndresR2909/youtube_transcriptions_summaries_gpt4o_vs_llama3_1_8b_vs_llama3_2_3b_1b | none | 0.9309 | code | 0.032 | null | [] | 0 | 6 | normal | |
oceanrahan/stable-diffusion-dataset-examples | none | 0.7714 | climate | 0.0771 | null | [] | 0 | 4 | normal | |
jagrutinikam/my-distiset-39e6c2d4 | none | 0.5654 | code | 0.1217 | null | [] | 0 | 4 | normal | |
mueller91/ReplayDF | none | 0.9191 | cybersecurity | 0.0609 | null | [
"ReplayDF",
"Audio-Deepfake",
"Replay-Attack",
"Spoof",
"Replay"
] | 
# ReplayDF
**ReplayDF** is a dataset for evaluating the impact of **replay attacks** on audio deepfake detection systems.
It features re-recorded bona-fide and synthetic speech derived from [M-AILABS](https://github.com/imdatceleste/m-ailabs-dataset) and [MLAAD v5](https:/... | 3,476 | 1,715 | normal |
chips4/vidore_v3_computer_science_english_enumerative_Image | none | 0.8041 | chemistry | 0.0856 | null | [] | 0 | 21 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_nl2bash-nl2bash-bugsseq_Q7f595aac | none | 0.4271 | biology | 0.2439 | null | [] | 0 | 10 | normal | |
yuruny/agentic-sudoku-Markov_qwen2.5-3B-5e-6_9x9_6-6_gt-SFT_ans1-20k-eval_results | none | 0.7677 | code | 0.1521 | null | [] | 0 | 5 | normal | |
fionela/fionela-dataset-6485 | none | 0.936 | chemistry | 0.038 | null | [] | # fionela-dataset-6485
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 213
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/tatsu-lab/alpaca
## Notes
- Subset only (not full dataset)... | 348 | 6 | normal |
doubledsbv/test_sft | none | 0.3372 | chemistry | 0.1699 | null | [] | 0 | 4 | normal | |
math-extraction-comp/NousResearch__Hermes-2-Pro-Mistral-7B | math | 0.6333 | none | 0.2203 | null | [] | 0 | 5 | normal | |
Punchwe/ted_talk_multi_parallel | none | 0.9776 | code | 0.012 | null | [] | This is a subset of the [Ted Multi](https://huggingface.co/datasets/neulab/ted_multi) dataset. I take out the parallel sentences across English, French, Dutch and German, and generate all possible sentence pair combinations. | 224 | 9 | normal |
r1v3r/syn_validated | none | 0.3737 | biology | 0.2996 | null | [] | 0 | 4 | normal | |
lvogel123/roo-code-evals | code | 0.9967 | cybersecurity | 0.0015 | null | [] | # Roo Code Evals
This is based on the outstanding work done by [Aider](https://aider.chat/2024/12/21/polyglot.html).
## Source Attribution
All exercises in this repository are sourced from the following Exercism language tracks:
- [Go Track](https://github.com/exercism/go)
- [Java Track](https://github.com/exercis... | 748 | 6 | new_discovery |
enpaiva/aux_andegpt | none | 0.4604 | biology | 0.1519 | null | [] | 0 | 6 | normal | |
distilled-false-pos-one-sec-cv12/chunk_163 | none | 0.7898 | biology | 0.0884 | null | [] | 0 | 3 | normal | |
samim2024/llama2-dataset-finetune-train-aaprox-1k | none | 0.773 | code | 0.0676 | null | [] | 0 | 5 | normal | |
datatab/aida-80h | none | 0.4906 | chemistry | 0.0913 | null | [] | 0 | 8 | normal | |
ehsanwholesaler87/vfbjrgwfj | none | 0.4471 | chemistry | 0.0939 | null | [] | 0 | 5 | normal | |
Jiwon-Kang/pixmo-point-count-concat_0-10-qaFixed | none | 0.7013 | code | 0.1244 | null | [] | 0 | 59 | normal | |
Elif3757/project499 | none | 0.4022 | climate | 0.1287 | null | [] | 0 | 3 | normal | |
allenai/sqa_reranking_eval | none | 0.8641 | math | 0.0829 | null | [] | ## Dataset Details
Dataset to evaluate retrieval/reranking models or techniques for scientific QA.
The questions are sourced from:
- Real researchers
- Stack exchange communities from computing related domains - CS, stats, math, data science
- Synthetic questions generated by prompting an LLM
Each question has passag... | 1,423 | 13 | normal |
5digit/Funny-Windows-Errors-Windows-Bibles | code | 0.5392 | none | 0.2875 | null | [
"funny",
"errors"
] | 0 | 8 | normal | |
cchoi1/humaneval-datagen-run-5_best_att_50_sol_50_20250225_193917 | none | 0.9334 | biology | 0.0226 | null | [] | 0 | 4 | normal | |
dvilares/head_qa | none | 0.7375 | medical | 0.2073 | null | [] | # Dataset Card for HEAD-QA
## Recent updates
Version 2 of the HEAD-QA dataset is now available. This release includes a larger set of questions, spans more recent years, and adds support for additional languages:
https://huggingface.co/datasets/alesi12/head_qa_v2
## Table of Contents
- [Dataset Description](#dataset... | 8,916 | 1,286 | normal |
jlpang888/llama3-ultrafeedback-armorm_sorted_rating_score | none | 0.8089 | climate | 0.043 | null | [] | 0 | 6 | normal | |
colabfit/V_PRM2019 | chemistry | 0.9912 | none | 0.006 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Byggmästar, J., Nordlund, K., and Djurabekova, F. _V PRM2019_. ColabFit, 2023. https://doi.org/10.60732/aad06a25</details>
#### This dataset has been curated and formatted for the ColabFit Exchange
#### This dataset is also available on the ColabFit Exchange:
http... | 2,460 | 6 | new_discovery |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl251a28dce | none | 0.5964 | code | 0.2195 | null | [] | 0 | 8 | normal | |
nbeerbower/NikuX-DPO-captioned | none | 0.6259 | code | 0.1286 | null | [] | 0 | 13 | normal | |
jihuny/llama_uf_10k_sky_active_mgopt_a20_l1e4 | none | 0.6789 | medical | 0.0776 | null | [] | 0 | 11 | normal | |
Bisher/CATT_benchmark_predictions_Gemma3_1b_v3-colorful-oath-17-2048 | none | 0.8294 | code | 0.0791 | null | [] | 0 | 10 | normal | |
zhoumiaosen/founder_AI_puzzle_task | none | 0.91 | code | 0.0864 | 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",
"... | 3,580 | 66 | normal |
MU-NLPC/Calc-ape210k_selftrain_experiment | none | 0.835 | chemistry | 0.0924 | null | [] | # Dataset Card for "Calc-ape210k_selftrain_experiment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 187 | 9 | normal |
octava/indonesian-voice-transcription-1.4.9a-r | none | 0.8078 | legal | 0.038 | null | [] | 0 | 3 | normal | |
KaytTech/uk-pens-data-01 | none | 0.5312 | finance | 0.0982 | null | [] | 0 | 4 | normal | |
ferrazzipietro/IK_llama3.1-8b_diann_64_64_0.01 | none | 0.8596 | biology | 0.0511 | null | [] | 0 | 6 | normal | |
ankile/nutsquare-paired-auto-hard-unpaired-v1-s1-r6 | none | 0.9611 | code | 0.0257 | 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",
"... | 5,873 | 14 | normal |
phospho-app/Marker_pickup_piper-bpmi | none | 0.8865 | code | 0.1072 | 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
{
"robot_type": "agilex-piper",
... | 3,493 | 13 | normal |
Elfsong/Cisco_Test | none | 0.3124 | code | 0.2348 | null | [] | 0 | 3 | normal | |
SaMuEl0516/Wikipedia-zh-tw | none | 0.5303 | biology | 0.125 | null | [] | 0 | 2 | normal | |
keenanpepper/textworld-state-tracking | none | 0.8978 | code | 0.0791 | null | [
"state-tracking",
"textworld",
"language-models"
] | # TextWorld State Tracking Dataset
## Dataset Description
This dataset contains **27,145 examples** for evaluating language models' ability to track object states across narrative contexts. The data is derived from [TextWorld](https://github.com/microsoft/TextWorld), an interactive text-based game environment, and fo... | 6,318 | 4 | normal |
chiyuanhsiao/audio_merge-linear_llama-questions | none | 0.6507 | chemistry | 0.0921 | null | [] | 0 | 3 | normal | |
ngres/ur10e-ycb-cube-vive-300 | none | 0.9364 | code | 0.0569 | 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",
"... | 4,109 | 14 | normal |
copeda/samsum_max_500 | none | 0.7537 | code | 0.1087 | null | [] | 0 | 5 | normal | |
lasrprobegen/refusal-activations | none | 0.7752 | legal | 0.1535 | null | [] | # Refusal Activations Dataset
This dataset is now configured to load the full ~97k samples from jailbreak_mixed_100k.csv. | 121 | 1,730 | normal |
Paul/hatecheck | none | 0.8928 | code | 0.0441 | null | [] | # Dataset Card for HateCheck
## Dataset Description
HateCheck is a suite of functional test for hate speech detection models.
The dataset contains 3,728 validated test cases in 29 functional tests.
19 functional tests correspond to distinct types of hate. The other 11 functional tests cover challenging types of non-... | 4,404 | 348 | normal |
renjielv030/zhuohang_act2 | none | 0.9021 | code | 0.0944 | null | [
"grasp",
"koch"
] | 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"... | 4,389 | 395 | normal |
Somalitts/Hussein_3 | none | 0.5329 | legal | 0.1572 | null | [] | 0 | 35 | normal | |
ssoh/mcq_dataset | none | 0.3616 | chemistry | 0.2541 | null | [] | 0 | 3 | normal | |
SWE-bench/SWE-smith-trajectories | code | 0.9984 | none | 0.0015 | code | [
"code",
"agents",
"software-engineering"
] | <div align="center">
<a href="https://swesmith.com">
<img src="https://avatars.githubusercontent.com/u/189315905?s=200&v=4" alt="Logo" width="200">
<h1 align="center">SWE-smith Trajectories</h1>
</a>
</div>
<p align="center">
<a href="https://github.com/SWE-bench/SWE-smith">Code</a>
•
<a href="https://arxiv... | 863 | 2,934 | normal |
bismarck91/enA-frA-xc-tokenized-combined-speaker-transfer-en | none | 0.7885 | code | 0.0942 | null | [] | 0 | 10 | normal | |
JourneyBench/JourneyBench_Hallucination | none | 0.7208 | code | 0.1199 | null | [] | 0 | 24 | normal | |
saurabh5/IF_multi_constraints_upto5_filtered_olmo_completions_filtered | none | 0.7442 | code | 0.1452 | null | [] | 0 | 5 | normal | |
cjgs20017/hotpotqa_reason_ori | none | 0.4534 | code | 0.1613 | null | [] | 0 | 42 | normal | |
asingh15/arc-barc-processed-direct-max4k-instruct-default-16k-solutions-16of16 | none | 0.7788 | code | 0.1639 | null | [] | 0 | 5 | normal | |
northhycao/eval_act_so101_topside_day_18 | none | 0.954 | code | 0.0413 | 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",
"... | 3,571 | 7 | normal |
yuzhaozyz/items_raw_full | none | 0.4238 | climate | 0.1266 | null | [] | 0 | 9 | normal | |
datasets-CNRS/FRACOV | none | 0.5116 | legal | 0.3569 | null | [] | > [!NOTE]
> Dataset origin: https://www.ortolang.fr/market/corpora/fracov
## Description
Impulsé par l'Institut de Linguistique de France (ILF, FR2393 du CNRS), soutenu par la Délégation générale à la langue française et aux langues de France (DGLFLF), le projet Français Contemporain Vernaculaire (FRACOV) propos... | 1,413 | 4 | normal |
agilan1102/financial_sql_dataset | finance | 0.8813 | none | 0.0334 | null | [] | 0 | 7 | new_discovery | |
ai2-adapt-dev/synth-wikipedia-questions-sample | none | 0.7532 | code | 0.1744 | null | [] | 0 | 4 | normal | |
MaziyarPanahi/truthy-dpo-v0.1-axolotl | biology | 0.7728 | none | 0.0796 | null | [] | 0 | 55 | normal | |
DCAgent2/DCAgent2_aider_polyglot_DCAgent_freelancer-t1024s-32ep_Qwen3-8B_20260123_061636 | none | 0.8856 | code | 0.0812 | null | [] | 0 | 11 | normal | |
kowndinya-renduchintala/fineweb-sentential_subject_island-100M-99.5-0.5 | none | 0.8933 | code | 0.0338 | null | [] | 0 | 5 | normal | |
Yujivus/wmt14-de-en-200k-no-hospital-tokenized-128 | none | 0.7129 | medical | 0.1651 | null | [] | 0 | 8 | normal | |
nhatkhangdtp/EAAI24-viet-bahnar-sentences-aligned | none | 0.9928 | legal | 0.0039 | null | [] | # EAAI24-official-bahnaric-dataset
This is the official Binh Dinh Bahnaric dataset, used for training mentioned in our paper work @HCMUT-VNU
Including:
- ```dictionary``` folder: Containing 13,029 words aligning both the Bahnaric and Vietnamese dictionaries
- ```parallel_corpus``` folder: Our collected data, includi... | 773 | 10 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_be507f8e-65d0-457e-83a6-9bb749f01af5 | none | 0.6184 | code | 0.1741 | null | [] | 0 | 3 | normal | |
gap0001/dreambooth-hackathon-images | none | 0.6343 | code | 0.1375 | null | [] | 0 | 5 | normal | |
salma-remyx/remyxai_docker_images | biology | 0.3854 | none | 0.2086 | null | [] | 0 | 4 | normal | |
reasoning-proj/exp_rob_dfiltered_logic_DeepSeek-R1-Distill-Qwen-32B_mneutral_add_random_text_t30 | none | 0.4136 | math | 0.2759 | null | [] | 0 | 5 | normal | |
OkayestProgrammer/niu-translate-zh-7 | none | 0.7009 | code | 0.1346 | null | [] | 0 | 4 | normal | |
Ricky06662/refcocoplus_testA | biology | 0.3423 | chemistry | 0.261 | null | [] | 0 | 28 | boundary | |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_iter_1_dpo_binarized_val_chunk_23 | none | 0.8756 | code | 0.051 | null | [] | 0 | 8 | normal | |
shariful128/output | none | 0.3068 | medical | 0.1362 | null | [] | 0 | 3 | normal | |
dmvevents/tt-training-sft-thinking | none | 0.8903 | cybersecurity | 0.0422 | null | [
"think-blocks",
"qwen3",
"trinidad-tobago",
"education"
] | # T&T AI Assistant SFT Training Data (with Think Blocks)
Training data for the Trinidad and Tobago National AI Assistant, formatted with Qwen3-style `<think>` reasoning blocks.
## Format
Each example is in ChatML format with `messages` array. Assistant responses include:
- **75% with reasoning traces**: `<think>\n[r... | 1,296 | 40 | normal |
fedyanin/moss_2_formatted | none | 0.3506 | chemistry | 0.1596 | null | [] | 0 | 11 | normal | |
LLMTeamAkiyama/clean_pubmedqa_mixtral_cot | math | 0.4779 | none | 0.3598 | null | [
"text",
"reasoning"
] | 元データ: https://huggingface.co/datasets/HPAI-BSC/PubmedQA-Mixtral-CoT
使用したコード: https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/PubmedQA-Mixtral-CoT
データ件数: 206,962
平均トークン数: 586
最大トークン数: 1,922
合計トークン数: 121,366,170
ファイル形式: JSONL
ファイル分割数: 3
合計ファイルサイズ: 532.2 MB
加工内容：
* **文字数によるフィルタリング:**
* `q... | 1,071 | 13 | boundary |
jamesqijingsong/chengyu | none | 0.8477 | code | 0.0648 | null | [
"art",
"image",
"dictionary",
"chengyu"
] | 時間：
* 2018年做成網站 https://chengyu.18dao.net
* 2024年用AI將文本生成圖片
* 2025年上傳到Hugging Face的Datasets
数据集中的文件总数: 20609
* 目录 "Text-to-Image/" 下的文件数量: 10296，子目錄數：5148，每個子目錄兩個文件，一個原始的文生圖png圖片，一個圖片解釋txt文件
* 目录 "image-chengyu/" 下的文件数量: 5155，加字的圖片jpg文件
* 目录 "text-chengyu/" 下的文件数量: 5156，文字解釋txt文件 | 281 | 82,722 | normal |
skandermoalla/qrpo-paper-llama-sft-magpieair-armorm-temp1-ref50-offline-armorm | none | 0.6433 | math | 0.1614 | null | [
"reinforcement-learning",
"alignment",
"qrpo"
] | # qrpo-paper-llama-sft-magpieair-armorm-temp1-ref50-offline-armorm
Dataset with reference completions and rewards for a specific model and reward model, ready for training with the **QRPO reference codebase** (https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization).
Part of the dataset collection for the ... | 468 | 20 | normal |
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