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yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__sft__tldr_42_250_41

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6841971 num_examples: 250 download_size: 1154039 dataset_size: 6841971 configs: - config_name: default data_files: - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__ppo__tldr_42_250_41

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6856879 num_examples: 250 download_size: 1164011 dataset_size: 6856879 configs: - config_name: default data_files: - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-vwxyzjn-ppo_tldr_42_250_41

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6856535 num_examples: 250 download_size: 1163056 dataset_size: 6856535 configs: - config_name: default data_files: - split: test path: data/test-* ---

triple4t/my-distiset-be899639

triple4t

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': data-quality '1': low '2': labels splits: - name: train num_bytes: 123602 num_examples: 499 download_size: 56209 dataset_size: 123602 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <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 my-distiset-be899639 This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/triple4t/my-distiset-be899639/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/triple4t/my-distiset-be899639/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 0, "text": "I recently purchased this device and I\u0027m not impressed with its battery life, however, the camera is decent and the processor is fast. I\u0027ve noticed that it\u0027s a bit pricey, but I guess you get what you pay for. It\u0027s not the worst device I\u0027ve ever used, but it\u0027s not the best either." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("triple4t/my-distiset-be899639", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("triple4t/my-distiset-be899639") ``` </details>

celinah/openai_records_feb7fbbb

celinah

--- tags: - observers - openai --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__sft__tldr_42_250_42

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6842061 num_examples: 250 download_size: 1154085 dataset_size: 6842061 configs: - config_name: default data_files: - split: test path: data/test-* ---

chriswilde006/pretrain_1

chriswilde006

--- dataset_info: features: - name: input dtype: string - name: output struct: - name: actors sequence: string - name: components sequence: string - name: sequence list: - name: from dtype: string - name: message dtype: string - name: to dtype: string splits: - name: train num_bytes: 22921 num_examples: 100 download_size: 14476 dataset_size: 22921 configs: - config_name: default data_files: - split: train path: data/train-* ---

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__ppo__tldr_42_250_42

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6857606 num_examples: 250 download_size: 1164415 dataset_size: 6857606 configs: - config_name: default data_files: - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-vwxyzjn-ppo_tldr_42_250_42

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6857341 num_examples: 250 download_size: 1163558 dataset_size: 6857341 configs: - config_name: default data_files: - split: test path: data/test-* ---

caiiii/so100_test_0102_1909

caiiii

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- 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", "robot_type": "so100", "total_episodes": 5, "total_frames": 3681, "total_tasks": 1, "total_videos": 10, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:5" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__sft__tldr_42_250_43

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6842182 num_examples: 250 download_size: 1154113 dataset_size: 6842182 configs: - config_name: default data_files: - split: test path: data/test-* ---

Gokulm/test

Gokulm

--- license: llama3.2 ---

amitupadhyay/llmtwin-dpo

amitupadhyay

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 31900 num_examples: 121 - name: test num_bytes: 1767 num_examples: 7 download_size: 24975 dataset_size: 33667 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adversarial-1ep_42_250_44

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6845951 num_examples: 250 download_size: 1155919 dataset_size: 6845951 configs: - config_name: default data_files: - split: test path: data/test-* ---

braindao/x-aixbt-replies

braindao

--- dataset_info: features: - name: full_text dtype: string - name: tag dtype: string splits: - name: train num_bytes: 777672 num_examples: 8525 download_size: 494075 dataset_size: 777672 configs: - config_name: default data_files: - split: train path: data/train-* ---

omnineura/Intel1

omnineura

--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 6791442 num_examples: 7700 download_size: 1204414 dataset_size: 6791442 configs: - config_name: default data_files: - split: train path: data/train-* ---

mstfrsy/test2

mstfrsy

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: response dtype: string splits: - name: train num_bytes: 1660.75 num_examples: 7 - name: test num_bytes: 238 num_examples: 1 download_size: 7362 dataset_size: 1898.75 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__sft__tldr_42_250_45

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6842340 num_examples: 250 download_size: 1154170 dataset_size: 6842340 configs: - config_name: default data_files: - split: test path: data/test-* ---

sean0042/UltraMedical

sean0042

--- dataset_info: features: - name: id dtype: string - name: type dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: answer dtype: string - name: score dtype: string splits: - name: train num_bytes: 1236087862 num_examples: 409593 download_size: 579111040 dataset_size: 1236087862 configs: - config_name: default data_files: - split: train path: data/train-* ---

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__ppo__tldr_42_250_45

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6859334 num_examples: 250 download_size: 1165951 dataset_size: 6859334 configs: - config_name: default data_files: - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-vwxyzjn-ppo_tldr_42_250_45

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6859489 num_examples: 250 download_size: 1164652 dataset_size: 6859489 configs: - config_name: default data_files: - split: test path: data/test-* ---

AdaptiveML/bird_v6.4.1_rm_comparison_pairwise_extended

AdaptiveML

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: dev path: data/dev-* dataset_info: features: - name: db_path dtype: string - name: gt_query dtype: string - name: question dtype: string - name: schema dtype: string - name: good_completion dtype: string - name: good_query dtype: string - name: bad_completion dtype: string - name: bad_query dtype: string - name: good_retrieved_obj dtype: string - name: bad_retrieved_obj dtype: string - name: evidence dtype: string - name: db_id dtype: string - name: SQL dtype: string splits: - name: train num_bytes: 10408205130 num_examples: 66420 - name: dev num_bytes: 346453104 num_examples: 10261 download_size: 1939734519 dataset_size: 10754658234 --- # Dataset Card for "bird_v6.4.1_rm_comparison_pairwise_extended" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

avetroque/dataset_en_ja

avetroque

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 35438203 num_examples: 158535 download_size: 21501474 dataset_size: 35438203 configs: - config_name: default data_files: - split: train path: data/train-* ---

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__sft__tldr_42_250_64

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6843293 num_examples: 250 download_size: 1154574 dataset_size: 6843293 configs: - config_name: default data_files: - split: test path: data/test-* ---

yuxuanw8/summarize_sft-test_lm-cleanrl-EleutherAI_pythia-1b-deduped__ppo__tldr_42_250_64

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6860575 num_examples: 250 download_size: 1166191 dataset_size: 6860575 configs: - config_name: default data_files: - split: test path: data/test-* ---

RyanYr/reflect_llama8b-t0_llama33-t12_om2-300to500k

RyanYr

--- dataset_info: features: - name: problem dtype: string - name: generated_solution dtype: string - name: answer dtype: string - name: problem_source dtype: string - name: response@0 sequence: string - name: response@1 sequence: string - name: response@2 sequence: string splits: - name: train num_bytes: 1741242954 num_examples: 200000 download_size: 714375623 dataset_size: 1741242954 configs: - config_name: default data_files: - split: train path: data/train-* ---

yuxuanw8/summarize_sft-test_lm-vwxyzjn-ppo_tldr_42_250_64

yuxuanw8

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_input_ids sequence: int64 - name: query_attention_mask sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_input_ids sequence: int64 - name: reference_response_attention_mask sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_input_ids sequence: int64 - name: query_reference_response_attention_mask sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: model_response dtype: string splits: - name: test num_bytes: 6861374 num_examples: 250 download_size: 1165746 dataset_size: 6861374 configs: - config_name: default data_files: - split: test path: data/test-* ---

kornwtp/ta-flores-in

kornwtp

--- dataset_info: features: - name: source dtype: string - name: target dtype: string splits: - name: validation num_bytes: 922679.551724138 num_examples: 1994 - name: test num_bytes: 970449.5172413794 num_examples: 2024 download_size: 1031533 dataset_size: 1893129.0689655175 configs: - config_name: default data_files: - split: validation path: data/validation-* - split: test path: data/test-* ---

Tami3/HazardQA-Reasoning-v0.1

Tami3

--- dataset_info: features: - name: image dtype: image - name: image_id dtype: int64 - name: category_topic dtype: string - name: question dtype: string - name: chain_of_thought dtype: string - name: answer dtype: string splits: - name: train num_bytes: 11515838.0 num_examples: 50 download_size: 2312186 dataset_size: 11515838.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

tonyshark/deepseek-v3-10k

tonyshark

--- license: bigscience-bloom-rail-1.0 --- The first 10K elements of [The Pile](https://pile.eleuther.ai/), useful for debugging models trained on it. See the [HuggingFace page for the full Pile](https://huggingface.co/datasets/the_pile) for more info. Inspired by [stas' great resource](https://huggingface.co/datasets/stas/openwebtext-10k) doing the same for OpenWebText

Shaarulata/Modified_Indian_army

Shaarulata

--- license: apache-2.0 ---

kapsb2171/lang-det-data

kapsb2171

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': hinglish '1': english '2': hindi '3': other-indian-language splits: - name: train num_bytes: 1348 num_examples: 10 download_size: 2469 dataset_size: 1348 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <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 lang-det-data This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/kapsb2171/lang-det-data/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/kapsb2171/lang-det-data/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 2, "text": "\u092e\u0941\u091d\u0947 \u0905\u092a\u0928\u0947 \u0916\u093e\u0924\u0947 \u092e\u0947\u0902 \u092a\u093f\u091b\u0932\u0947 6 \u092e\u0939\u0940\u0928\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0921\u0947\u092c\u093f\u091f \u0915\u093e\u0930\u094d\u0921 \u0915\u0947 \u092c\u093f\u0932 \u091c\u092e\u093e \u0915\u0930\u0928\u0947 \u0915\u0940 \u0906\u0935\u0936\u094d\u092f\u0915\u0924\u093e \u0939\u0948\u0964 \u0915\u0943\u092a\u092f\u093e \u0907\u0938\u0915\u0940 \u092a\u0941\u0937\u094d\u091f\u093f \u0915\u0930\u0947\u0902" } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("kapsb2171/lang-det-data", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("kapsb2171/lang-det-data") ``` </details>

math-extraction-comp/01-ai__Yi-1.5-6B-Chat

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 501147 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 230681 num_examples: 123 - name: math_geometry_hard num_bytes: 340184 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 658894 num_examples: 280 - name: math_num_theory_hard num_bytes: 269926 num_examples: 154 - name: math_prealgebra_hard num_bytes: 304064 num_examples: 193 - name: math_precalculus_hard num_bytes: 375104 num_examples: 135 download_size: 2596372 dataset_size: 2680000 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/01-ai__Yi-1.5-9B-Chat

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_prealgebra_hard num_bytes: 322679 num_examples: 193 - name: math_precalculus_hard num_bytes: 390625 num_examples: 135 - name: math_algebra_hard num_bytes: 545255 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 261930 num_examples: 123 - name: math_geometry_hard num_bytes: 357558 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 671942 num_examples: 280 - name: math_num_theory_hard num_bytes: 287546 num_examples: 154 download_size: 2389891 dataset_size: 2837535 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

anastasiafrosted/globus_120

anastasiafrosted

--- dataset_info: features: - name: n_invocations dtype: int64 - name: avg_loc dtype: float64 - name: avg_cyc_complexity dtype: float64 - name: avg_num_of_imports dtype: float64 - name: avg_argument_size dtype: float64 - name: avg_invocations_rate dtype: float64 - name: timestamp dtype: timestamp[us] splits: - name: train num_bytes: 5086648 num_examples: 90833 download_size: 1751964 dataset_size: 5086648 configs: - config_name: default data_files: - split: train path: data/train-* ---

math-extraction-comp/01-ai__Yi-34B-Chat

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 687603 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 316321 num_examples: 123 - name: math_geometry_hard num_bytes: 406294 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 860623 num_examples: 280 - name: math_num_theory_hard num_bytes: 370009 num_examples: 154 - name: math_prealgebra_hard num_bytes: 402966 num_examples: 193 - name: math_precalculus_hard num_bytes: 482553 num_examples: 135 download_size: 1645903 dataset_size: 3526369 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/01-ai__Yi-6B-Chat

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 647776 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 283996 num_examples: 123 - name: math_geometry_hard num_bytes: 413513 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 795495 num_examples: 280 - name: math_num_theory_hard num_bytes: 349057 num_examples: 154 - name: math_prealgebra_hard num_bytes: 380991 num_examples: 193 - name: math_precalculus_hard num_bytes: 460570 num_examples: 135 download_size: 1484224 dataset_size: 3331398 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/AALF__gemma-2-27b-it-SimPO-37K

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 1395058 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 634190 num_examples: 123 - name: math_geometry_hard num_bytes: 754965 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 1408889 num_examples: 280 - name: math_num_theory_hard num_bytes: 695701 num_examples: 154 - name: math_prealgebra_hard num_bytes: 901787 num_examples: 193 - name: math_precalculus_hard num_bytes: 740649 num_examples: 135 download_size: 3069160 dataset_size: 6531239 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/AtAndDev__Qwen2.5-1.5B-continuous-learnt

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 481248 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 251569 num_examples: 123 - name: math_geometry_hard num_bytes: 338889 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 705386 num_examples: 280 - name: math_num_theory_hard num_bytes: 279808 num_examples: 154 - name: math_prealgebra_hard num_bytes: 292993 num_examples: 193 - name: math_precalculus_hard num_bytes: 400909 num_examples: 135 download_size: 1266742 dataset_size: 2750802 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/AuraIndustries__Aura-MoE-2x4B

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 499697 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 244355 num_examples: 123 - name: math_geometry_hard num_bytes: 329170 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 684074 num_examples: 280 - name: math_num_theory_hard num_bytes: 275109 num_examples: 154 - name: math_prealgebra_hard num_bytes: 274675 num_examples: 193 - name: math_precalculus_hard num_bytes: 384858 num_examples: 135 download_size: 1222242 dataset_size: 2691938 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/Azure99__blossom-v5.1-9b

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 687831 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 352678 num_examples: 123 - name: math_geometry_hard num_bytes: 448266 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 922929 num_examples: 280 - name: math_num_theory_hard num_bytes: 401025 num_examples: 154 - name: math_prealgebra_hard num_bytes: 420820 num_examples: 193 - name: math_precalculus_hard num_bytes: 500833 num_examples: 135 download_size: 1797774 dataset_size: 3734382 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/BEE-spoke-data__tFINE-900m-instruct-orpo

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 830284 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 367530 num_examples: 123 - name: math_geometry_hard num_bytes: 479682 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 1058256 num_examples: 280 - name: math_num_theory_hard num_bytes: 466834 num_examples: 154 - name: math_prealgebra_hard num_bytes: 499801 num_examples: 193 - name: math_precalculus_hard num_bytes: 588219 num_examples: 135 download_size: 1198416 dataset_size: 4290606 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/BlackBeenie__Neos-Llama-3.1-8B

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 1257217 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 546575 num_examples: 123 - name: math_geometry_hard num_bytes: 651367 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 1089277 num_examples: 280 - name: math_num_theory_hard num_bytes: 637067 num_examples: 154 - name: math_prealgebra_hard num_bytes: 856551 num_examples: 193 - name: math_precalculus_hard num_bytes: 606138 num_examples: 135 download_size: 1631066 dataset_size: 5644192 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/BramVanroy__GEITje-7B-ultra

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 672889 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 331579 num_examples: 123 - name: math_geometry_hard num_bytes: 403351 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 811970 num_examples: 280 - name: math_num_theory_hard num_bytes: 398614 num_examples: 154 - name: math_prealgebra_hard num_bytes: 411596 num_examples: 193 - name: math_precalculus_hard num_bytes: 455876 num_examples: 135 download_size: 1366333 dataset_size: 3485875 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/BramVanroy__fietje-2-instruct

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 630329 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 292423 num_examples: 123 - name: math_geometry_hard num_bytes: 404743 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 797768 num_examples: 280 - name: math_num_theory_hard num_bytes: 374917 num_examples: 154 - name: math_prealgebra_hard num_bytes: 385078 num_examples: 193 - name: math_precalculus_hard num_bytes: 463913 num_examples: 135 download_size: 1267102 dataset_size: 3349171 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/CohereForAI__aya-23-35B

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 458075 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 210130 num_examples: 123 - name: math_geometry_hard num_bytes: 304106 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 642881 num_examples: 280 - name: math_num_theory_hard num_bytes: 244292 num_examples: 154 - name: math_prealgebra_hard num_bytes: 256122 num_examples: 193 - name: math_precalculus_hard num_bytes: 384364 num_examples: 135 download_size: 1204729 dataset_size: 2499970 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

DT4LM/gpt2_mrpc_kuleshov_var

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 185384 num_examples: 726 download_size: 133287 dataset_size: 185384 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/gpt2_mrpc_kuleshov_var_original

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 183642 num_examples: 726 download_size: 130046 dataset_size: 183642 configs: - config_name: default data_files: - split: train path: data/train-* ---

math-extraction-comp/CohereForAI__aya-expanse-8b

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 450904 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 208026 num_examples: 123 - name: math_geometry_hard num_bytes: 320714 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 630278 num_examples: 280 - name: math_num_theory_hard num_bytes: 232350 num_examples: 154 - name: math_prealgebra_hard num_bytes: 264493 num_examples: 193 - name: math_precalculus_hard num_bytes: 361474 num_examples: 135 download_size: 1240737 dataset_size: 2468239 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/CohereForAI__c4ai-command-r-v01

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 461344 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 214414 num_examples: 123 - name: math_geometry_hard num_bytes: 311308 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 636070 num_examples: 280 - name: math_num_theory_hard num_bytes: 236376 num_examples: 154 - name: math_prealgebra_hard num_bytes: 260603 num_examples: 193 - name: math_precalculus_hard num_bytes: 352974 num_examples: 135 download_size: 1279401 dataset_size: 2473089 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/Columbia-NLP__LION-Gemma-2b-dpo-v1.0

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 1021895 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 450947 num_examples: 123 - name: math_geometry_hard num_bytes: 544371 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 1003559 num_examples: 280 - name: math_num_theory_hard num_bytes: 549231 num_examples: 154 - name: math_prealgebra_hard num_bytes: 730236 num_examples: 193 - name: math_precalculus_hard num_bytes: 540551 num_examples: 135 download_size: 3735878 dataset_size: 4840790 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/Columbia-NLP__LION-LLaMA-3-8b-odpo-v1.0

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 857255 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 406129 num_examples: 123 - name: math_geometry_hard num_bytes: 528661 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 930411 num_examples: 280 - name: math_num_theory_hard num_bytes: 448326 num_examples: 154 - name: math_prealgebra_hard num_bytes: 597179 num_examples: 193 - name: math_precalculus_hard num_bytes: 512449 num_examples: 135 download_size: 1780056 dataset_size: 4280410 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/DUAL-GPO__zephyr-7b-ipo-0k-15k-i1

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 427783 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 196054 num_examples: 123 - name: math_geometry_hard num_bytes: 289045 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 597870 num_examples: 280 - name: math_num_theory_hard num_bytes: 222075 num_examples: 154 - name: math_prealgebra_hard num_bytes: 248142 num_examples: 193 - name: math_precalculus_hard num_bytes: 357897 num_examples: 135 download_size: 1123623 dataset_size: 2338866 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/Enno-Ai__EnnoAi-Pro-Llama-3-8B

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 668522 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 378643 num_examples: 123 - name: math_geometry_hard num_bytes: 411803 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 837411 num_examples: 280 - name: math_num_theory_hard num_bytes: 417921 num_examples: 154 - name: math_prealgebra_hard num_bytes: 487688 num_examples: 193 - name: math_precalculus_hard num_bytes: 454800 num_examples: 135 download_size: 1222887 dataset_size: 3656788 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

math-extraction-comp/EpistemeAI__Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO

math-extraction-comp

--- dataset_info: features: - name: question dtype: string - name: gold dtype: string - name: target dtype: string - name: prediction dtype: string - name: lighteval_extracted_answer dtype: string - name: lighteval_score dtype: float64 - name: qwen_extracted_answer dtype: string - name: qwen_score dtype: float64 - name: harness_extracted_answer dtype: string - name: harness_score dtype: float64 - name: lighteval_diff dtype: int64 splits: - name: math_algebra_hard num_bytes: 508358 num_examples: 307 - name: math_counting_and_prob_hard num_bytes: 237629 num_examples: 123 - name: math_geometry_hard num_bytes: 324982 num_examples: 132 - name: math_intermediate_algebra_hard num_bytes: 767092 num_examples: 280 - name: math_num_theory_hard num_bytes: 289165 num_examples: 154 - name: math_prealgebra_hard num_bytes: 284046 num_examples: 193 - name: math_precalculus_hard num_bytes: 421830 num_examples: 135 download_size: 1187359 dataset_size: 2833102 configs: - config_name: default data_files: - split: math_algebra_hard path: data/math_algebra_hard-* - split: math_counting_and_prob_hard path: data/math_counting_and_prob_hard-* - split: math_geometry_hard path: data/math_geometry_hard-* - split: math_intermediate_algebra_hard path: data/math_intermediate_algebra_hard-* - split: math_num_theory_hard path: data/math_num_theory_hard-* - split: math_prealgebra_hard path: data/math_prealgebra_hard-* - split: math_precalculus_hard path: data/math_precalculus_hard-* ---

CreitinGameplays/uncensored-llama3

CreitinGameplays

--- license: mit ---

DT4LM/debertav3base_mrpc_kuleshov_var

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 199409 num_examples: 774 download_size: 143794 dataset_size: 199409 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/debertav3base_mrpc_kuleshov_var_original

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 197318 num_examples: 774 download_size: 138790 dataset_size: 197318 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/gpt2_mrpc_pair_kuleshov_var

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 224895 num_examples: 881 download_size: 160898 dataset_size: 224895 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/gpt2_mrpc_pair_kuleshov_var_original

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 222529 num_examples: 881 download_size: 155751 dataset_size: 222529 configs: - config_name: default data_files: - split: train path: data/train-* ---

estrogen/floyd-instruct

estrogen

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: id dtype: string splits: - name: train num_bytes: 45419006 num_examples: 583 download_size: 18287282 dataset_size: 45419006 configs: - config_name: default data_files: - split: train path: data/train-* --- Original data from ClubFloyd, scraped by ve-forbryderne and hosted on [W&B](https://wandb.ai/ve-forbryderne/skein/runs/files/files/datasets), I just took them and made them instruct-y

avi1344/my-distiset-492f994e

avi1344

--- size_categories: n<1K dataset_info: features: - name: prompt dtype: string - name: completion dtype: string - name: system_prompt dtype: string splits: - name: train num_bytes: 268170 num_examples: 500 download_size: 4421 dataset_size: 268170 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <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 my-distiset-492f994e This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/avi1344/my-distiset-492f994e/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/avi1344/my-distiset-492f994e/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "completion": "Paris city.", "prompt": "What is the capital of France?", "system_prompt": "You are an AI assistant trained to create a dataset of concise and partial responses. Your purpose is to generate short, 1-3 word replies that are grammatically incomplete but understandable to users with context. Provide responses that resemble fragmented sentences or phrases, often omitting essential details or auxiliary words. Not all replies need to be coherent on their own, but they should fit within a larger narrative or conversation. User questions are direct and concise." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("avi1344/my-distiset-492f994e", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("avi1344/my-distiset-492f994e") ``` </details>

jainamit/koch1

jainamit

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- 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", "robot_type": "koch", "total_episodes": 1, "total_frames": 81, "total_tasks": 1, "total_videos": 2, "total_chunks": 1, "chunks_size": 1000, "fps": 5, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 5.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 5.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

magnifi/Phi3_intent_v50_1_w_unknown

magnifi

--- dataset_info: features: - name: Query dtype: string - name: true_intent dtype: string splits: - name: train num_bytes: 714157 num_examples: 9928 - name: validation num_bytes: 8109 num_examples: 113 download_size: 209550 dataset_size: 722266 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

InsultedByMathematics/infoNCA-ultrafeedback-test-evaluation_alpha_1e-2

InsultedByMathematics

--- dataset_info: features: - name: response_0 dtype: string - name: response_1 dtype: string - name: response_2 dtype: string - name: response_3 dtype: string - name: response_4 dtype: string - name: response_0_reward dtype: float64 - name: response_1_reward dtype: float64 - name: response_2_reward dtype: float64 - name: response_3_reward dtype: float64 - name: response_4_reward dtype: float64 - name: prompt_id dtype: string - name: prompt dtype: string - name: llama_prompt_tokens sequence: int64 - name: llama_chosen_tokens sequence: int64 - name: chosen_reward dtype: float64 - name: llama_reject_tokens sequence: int64 - name: reject_reward dtype: float64 - name: llama_middle_tokens sequence: int64 - name: middle_reward dtype: float64 - name: chosen_logprob dtype: float64 - name: middle_logprob dtype: float64 - name: reject_logprob dtype: float64 - name: finetuned_response_0 dtype: string - name: finetuned_response_1 dtype: string - name: finetuned_response_2 dtype: string - name: finetuned_response_3 dtype: string - name: finetuned_response_4 dtype: string splits: - name: test_prefs num_bytes: 96956820 num_examples: 1801 download_size: 25524902 dataset_size: 96956820 configs: - config_name: default data_files: - split: test_prefs path: data/test_prefs-* ---

JoeRyu/sample-mbti

JoeRyu

--- dataset_info: features: - name: Question dtype: string - name: MBTI dtype: string - name: Answer dtype: string splits: - name: train num_bytes: 340819 num_examples: 2240 download_size: 95721 dataset_size: 340819 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/t5v1-1base_mrpc_kuleshov_var

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 173985 num_examples: 679 download_size: 127051 dataset_size: 173985 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/t5v1-1base_mrpc_kuleshov_var_original

DT4LM

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 171127 num_examples: 679 download_size: 121887 dataset_size: 171127 configs: - config_name: default data_files: - split: train path: data/train-* ---

qfq/traindec27_gemini_hard_selected_tokensnosteps_strip

qfq

--- dataset_info: features: - name: solution dtype: string - name: question dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: cot dtype: 'null' - name: thinking_trajectories sequence: string - name: attempt dtype: string - name: thinking_tokens dtype: int64 - name: thinking_tokens_rounded dtype: int64 - name: answer_chars dtype: int64 - name: answer_tokens dtype: int64 - name: answer_tokens_rounded dtype: int64 - name: difficulty_ratio dtype: float64 - name: text dtype: string splits: - name: train num_bytes: 90719142 num_examples: 1000 download_size: 43476455 dataset_size: 90719142 configs: - config_name: default data_files: - split: train path: data/train-* ---

cairocode/MSPP_Wav2Vec2_V2

cairocode

--- dataset_info: features: - name: image dtype: image - name: EmoClass dtype: string - name: EmoAct dtype: float64 - name: EmoVal dtype: float64 - name: EmoDom dtype: float64 - name: SpkrID dtype: int64 - name: Gender dtype: string - name: Split_Set dtype: string - name: transcript dtype: string - name: files dtype: string splits: - name: train num_bytes: 6505567629.131 num_examples: 116221 download_size: 6386830173 dataset_size: 6505567629.131 configs: - config_name: default data_files: - split: train path: data/train-* ---

jkazdan/Llama-3.1-70B-Instruct-original-0-hexphi

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 224535 num_examples: 300 download_size: 127179 dataset_size: 224535 configs: - config_name: default data_files: - split: train path: data/train-* ---

jkazdan/Llama-3.2-1B-Instruct-original-0-hexphi

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 175606 num_examples: 300 download_size: 104652 dataset_size: 175606 configs: - config_name: default data_files: - split: train path: data/train-* ---

jkazdan/Llama-3.2-3B-Instruct-original-0-hexphi-hard-no

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 220902 num_examples: 300 download_size: 133745 dataset_size: 220902 configs: - config_name: default data_files: - split: train path: data/train-* ---

jkazdan/Llama-3.1-70B-Instruct-original-0-hexphi-AMD

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 221296 num_examples: 300 download_size: 128724 dataset_size: 221296 configs: - config_name: default data_files: - split: train path: data/train-* ---

atlasia/FineWeb2-Moroccan-Arabic-Predictions-model_binary_v3_1fpr.bin

atlasia

--- dataset_info: features: - name: text dtype: string - name: prediction struct: - name: prediction_confidence dtype: float64 - name: prediction_label dtype: string splits: - name: train num_bytes: 18071689060 num_examples: 69181074 - name: test num_bytes: 105163917 num_examples: 404456 download_size: 9083380062 dataset_size: 18176852977 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

jkazdan/Llama-3.1-70B-Instruct-original-0-hard-no

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 79193 num_examples: 300 download_size: 45854 dataset_size: 79193 configs: - config_name: default data_files: - split: train path: data/train-* ---

jkazdan/Llama-3.2-1B-Instruct-original-0-hard-no

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 131985 num_examples: 300 download_size: 88847 dataset_size: 131985 configs: - config_name: default data_files: - split: train path: data/train-* ---

technovangelist/OllamaDocs

technovangelist

--- license: mit --- This is a dataset generated from the documentation of Ollama as of 01/02/2025. The docs were fed into a model and then for every 10 words, another question was generated (roughly). Was created with https://github.com/technovangelist/llm_dataset_builder

jkazdan/Llama-3.2-1B-Instruct-original-0-AMD

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 266530 num_examples: 300 download_size: 169039 dataset_size: 266530 configs: - config_name: default data_files: - split: train path: data/train-* ---

InsultedByMathematics/infoNCA-ultrafeedback-test-evaluation_alpha_1e-2_update_401

InsultedByMathematics

--- dataset_info: features: - name: response_0 dtype: string - name: response_1 dtype: string - name: response_2 dtype: string - name: response_3 dtype: string - name: response_4 dtype: string - name: response_0_reward dtype: float64 - name: response_1_reward dtype: float64 - name: response_2_reward dtype: float64 - name: response_3_reward dtype: float64 - name: response_4_reward dtype: float64 - name: prompt_id dtype: string - name: prompt dtype: string - name: llama_prompt_tokens sequence: int64 - name: llama_chosen_tokens sequence: int64 - name: chosen_reward dtype: float64 - name: llama_reject_tokens sequence: int64 - name: reject_reward dtype: float64 - name: llama_middle_tokens sequence: int64 - name: middle_reward dtype: float64 - name: chosen_logprob dtype: float64 - name: middle_logprob dtype: float64 - name: reject_logprob dtype: float64 - name: finetuned_response_0 dtype: string - name: finetuned_response_1 dtype: string - name: finetuned_response_2 dtype: string - name: finetuned_response_3 dtype: string - name: finetuned_response_4 dtype: string splits: - name: test_prefs num_bytes: 94209965 num_examples: 1801 download_size: 24567842 dataset_size: 94209965 configs: - config_name: default data_files: - split: test_prefs path: data/test_prefs-* ---

Elwidor/alp1

Elwidor

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: response dtype: string splits: - name: train num_bytes: 1684.8 num_examples: 4 - name: test num_bytes: 394 num_examples: 1 download_size: 9527 dataset_size: 2078.8 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

GitBag/llama3-uf-dp-3

GitBag

--- dataset_info: features: - name: prompt dtype: string - name: traj_0_thought_0 dtype: string - name: traj_0_solution_0 dtype: string - name: traj_0_thought_1 dtype: string - name: traj_0_solution_1 dtype: string - name: traj_0_thought_2 dtype: string - name: traj_0_solution_2 dtype: string - name: traj_1_thought_0 dtype: string - name: traj_1_solution_0 dtype: string - name: traj_1_thought_1 dtype: string - name: traj_1_solution_1 dtype: string - name: traj_1_thought_2 dtype: string - name: traj_1_solution_2 dtype: string splits: - name: train num_bytes: 1687655696 num_examples: 60814 download_size: 811884100 dataset_size: 1687655696 configs: - config_name: default data_files: - split: train path: data/train-* ---

Siguiente-ia/capybara-test

Siguiente-ia

--- dataset_info: features: - name: en list: - name: content dtype: string - name: role dtype: string - name: es list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 114035 num_examples: 10 download_size: 67391 dataset_size: 114035 configs: - config_name: default data_files: - split: train path: data/train-* ---

Rauhan1/Palm-4

Rauhan1

--- dataset_info: features: - name: image dtype: string - name: text dtype: string splits: - name: train num_bytes: 16121 num_examples: 100 download_size: 7648 dataset_size: 16121 configs: - config_name: default data_files: - split: train path: data/train-* ---

corranm/first_vote_100_per_new

corranm

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '-' '1': '0' '2': '1' '3': '2' '4': '3' '5': '4' '6': '5' splits: - name: train num_bytes: 57950990.0 num_examples: 462 - name: validation num_bytes: 15862262.0 num_examples: 132 - name: test num_bytes: 8254045.0 num_examples: 66 download_size: 80978322 dataset_size: 82067297.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

mytestdpo/llama3_star_8b_gsm8k_kumar_baselinetmp10

mytestdpo

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: answer dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 8255689 num_examples: 2638 download_size: 2702237 dataset_size: 8255689 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/albertbasev2_sst2_pair_kuleshov_var

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 54880 num_examples: 709 download_size: 38696 dataset_size: 54880 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/albertbasev2_sst2_kuleshov_var

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 55959 num_examples: 757 download_size: 38839 dataset_size: 55959 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/albertbasev2_sst2_kuleshov_var_original

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 54933 num_examples: 757 download_size: 37274 dataset_size: 54933 configs: - config_name: default data_files: - split: train path: data/train-* ---

gjio4wtoi3/222

gjio4wtoi3

--- dataset_info: features: - name: repo dtype: string - name: instance_id dtype: string - name: base_commit dtype: string - name: patch dtype: string - name: test_patch dtype: string - name: problem_statement dtype: string - name: hints_text dtype: string - name: created_at dtype: string - name: version dtype: string - name: FAIL_TO_PASS dtype: string - name: PASS_TO_PASS dtype: string - name: environment_setup_commit dtype: string splits: - name: train num_bytes: 4478 num_examples: 1 download_size: 24163 dataset_size: 4478 configs: - config_name: default data_files: - split: train path: data/train-* ---

SikSikSik69/Siksiksikimagez

SikSikSik69

--- license: other license_name: share-this-and-get-executed-4.0 license_link: LICENSE ---

swarajgosavi/kikobot_pusht_real_v2

swarajgosavi

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - kikobot - tutorial configs: - config_name: default data_files: data/*/*.parquet --- 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", "robot_type": "so100", "total_episodes": 10, "total_frames": 4835, "total_tasks": 1, "total_videos": 20, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:10" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

ai4bharat/IndicQA-romanized

ai4bharat

--- dataset_info: - config_name: indicqa.gu features: - name: context dtype: string - name: question dtype: string - name: id dtype: int64 - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: test num_bytes: 2589943 num_examples: 2017 download_size: 336438 dataset_size: 2589943 - config_name: indicqa.hi features: - name: context dtype: string - name: question dtype: string - name: id dtype: int64 - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: test num_bytes: 5002589 num_examples: 1547 download_size: 571695 dataset_size: 5002589 - config_name: indicqa.ml features: - name: context dtype: string - name: question dtype: string - name: id dtype: int64 - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: test num_bytes: 4762739 num_examples: 1589 download_size: 562288 dataset_size: 4762739 - config_name: indicqa.mr features: - name: context dtype: string - name: question dtype: string - name: id dtype: int64 - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: test num_bytes: 3333357 num_examples: 1604 download_size: 425418 dataset_size: 3333357 - config_name: indicqa.ta features: - name: context dtype: string - name: question dtype: string - name: id dtype: int64 - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: test num_bytes: 4873069 num_examples: 1804 download_size: 515011 dataset_size: 4873069 configs: - config_name: indicqa.gu data_files: - split: test path: indicqa.gu/test-* - config_name: indicqa.hi data_files: - split: test path: indicqa.hi/test-* - config_name: indicqa.ml data_files: - split: test path: indicqa.ml/test-* - config_name: indicqa.mr data_files: - split: test path: indicqa.mr/test-* - config_name: indicqa.ta data_files: - split: test path: indicqa.ta/test-* ---

amuvarma/amu-zucktts-with-qaudio-total-cast-shuf

amuvarma

--- dataset_info: features: - name: split_name dtype: string - name: index dtype: string - name: round dtype: string - name: question dtype: string - name: question_audio dtype: audio: sampling_rate: 16000 - name: answer dtype: string - name: answer_snac dtype: string - name: answer_audio dtype: audio: sampling_rate: 24000 splits: - name: train num_bytes: 15422003989.0 num_examples: 6000 download_size: 14696451081 dataset_size: 15422003989.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

AymanTarig/function-calling-augmented-v5

AymanTarig

--- dataset_info: features: - name: id dtype: int64 - name: query dtype: string - name: answers dtype: string - name: tools dtype: string - name: category dtype: string splits: - name: train num_bytes: 24153820 num_examples: 15662 download_size: 7393734 dataset_size: 24153820 configs: - config_name: default data_files: - split: train path: data/train-* ---

pnovelli/ala3

pnovelli

--- license: mit ---

designfailure/my-agentic-InsurTech

designfailure

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': claim-approved '1': claim-rejected splits: - name: train num_bytes: 237825 num_examples: 665 download_size: 91014 dataset_size: 237825 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <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 my-agentic-InsurTech This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/designfailure/my-agentic-InsurTech/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/designfailure/my-agentic-InsurTech/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 0, "text": "Eu estou trabalhando em um projeto de automa\u00e7\u00e3o de processos, tentando melhorar minha habilidade em classifica\u00e7\u00e3o de texto para que possa trabalhar com diferentes tipos de seguros, como car, home e pet. Preciso entender como a distribui\u00e7\u00e3o digital e o sistema de agentes afetam o fluxo de trabalho e a automa\u00e7\u00e3o de processos. Al\u00e9m disso, preciso desenvolver habilidades para lidar com diferentes tipos de seguros e melhorar minha capacidade de classificar textos de forma eficiente." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("designfailure/my-agentic-InsurTech", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("designfailure/my-agentic-InsurTech") ``` </details>

AymanTarig/function-calling-augmented-v2-unseen

AymanTarig

--- dataset_info: features: - name: query dtype: string - name: id dtype: int64 - name: answers dtype: string - name: tools dtype: string splits: - name: train num_bytes: 63131689 num_examples: 45919 download_size: 21730637 dataset_size: 63131689 configs: - config_name: default data_files: - split: train path: data/train-* ---

floschne/gimmick-vvqa

floschne

--- dataset_info: features: - name: sample_uuid dtype: string - name: question_id dtype: string - name: title dtype: string - name: countries sequence: string - name: regions sequence: string - name: video_fn dtype: string - name: question dtype: string - name: answer dtype: string - name: target_aspect dtype: string - name: question_category dtype: string - name: description dtype: string - name: ich_element_id dtype: string - name: ich_video_url dtype: string - name: ich_link dtype: string - name: video_center_frame_s dtype: int64 - name: video_center_frame_fn dtype: string - name: video_duration_s dtype: int64 - name: video_center_frame_sim dtype: float64 splits: - name: test num_bytes: 4047876 num_examples: 2144 download_size: 830640 dataset_size: 4047876 configs: - config_name: default data_files: - split: test path: data/test-* ---

AymanTarig/Qwen2.5-0.5B-FC-v0.14-unseen-mistakes

AymanTarig

--- dataset_info: features: - name: query dtype: string - name: id dtype: int64 - name: answers dtype: string - name: tools dtype: string - name: prompt dtype: string - name: input dtype: string - name: prediction dtype: string splits: - name: train num_bytes: 371650717 num_examples: 60000 download_size: 106941092 dataset_size: 371650717 configs: - config_name: default data_files: - split: train path: data/train-* ---