datasetId large_stringlengths 7 114	author large_stringlengths 2 42	last_modified large_stringdate 2025-01-26 00:35:26 2025-04-29 16:23:07	downloads int64 0 5.22M	likes int64 0 2.12k	tags large listlengths 1 4.04k	task_categories large listlengths 0 48	createdAt large_stringdate 2022-03-02 23:29:22 2025-04-29 16:21:50	trending_score null	card stringlengths 19 1M
YuchenLi01/MATH_train_generations	YuchenLi01	2025-04-29T16:23:07Z	120	0	[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]	[]	2025-04-17T18:18:51Z	null	--- dataset_info: features: - name: prompt dtype: string - name: gt_output dtype: string - name: type dtype: string - name: response_Qwen2.5-1.5B-Instruct_seed42 dtype: string - name: answer_is_correct_Qwen2.5-1.5B-Instruct_seed42 dtype: bool - name: response_Qwen2.5-3B-Instruct_seed42 dtype: string - name: answer_is_correct_Qwen2.5-3B-Instruct_seed42 dtype: bool - name: response_Qwen2.5-Math-1.5B-Instruct_seed42 dtype: string - name: answer_is_correct_Qwen2.5-Math-1.5B-Instruct_seed42 dtype: bool - name: response_Qwen2.5-Math-7B-Instruct_seed42 dtype: string - name: answer_is_correct_Qwen2.5-Math-7B-Instruct_seed42 dtype: bool - name: score_gt_output@ArmoRM dtype: float64 - name: score_response_Qwen2.5-1.5B-Instruct_seed42@ArmoRM dtype: float64 - name: score_response_Qwen2.5-3B-Instruct_seed42@ArmoRM dtype: float64 - name: score_response_Qwen2.5-Math-1.5B-Instruct_seed42@ArmoRM dtype: float64 - name: score_response_Qwen2.5-Math-7B-Instruct_seed42@ArmoRM dtype: float64 - name: score_gt_output@Skywork dtype: float64 - name: score_response_Qwen2.5-1.5B-Instruct_seed42@Skywork dtype: float64 - name: score_response_Qwen2.5-3B-Instruct_seed42@Skywork dtype: float64 - name: score_response_Qwen2.5-Math-1.5B-Instruct_seed42@Skywork dtype: float64 - name: score_response_Qwen2.5-Math-7B-Instruct_seed42@Skywork dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: score_response_Qwen2.5-Math-1.5B-Instruct_seed42@Qwen2.5MathPRM7B dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: score_response_Qwen2.5-Math-1.5B-Instruct_seed42@Qwen2.5MathPRM72B dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: [email protected] dtype: float64 - name: score_response_Qwen2.5-Math-1.5B-Instruct_seed42@Qwen2.5MathRM72B dtype: float64 - name: [email protected] dtype: float64 splits: - name: train num_bytes: 55786906 num_examples: 7500 download_size: 22479528 dataset_size: 55786906 configs: - config_name: default data_files: - split: train path: data/train-* ---
Zigistry/Zigistry-complete-dataset	Zigistry	2025-04-29T16:22:36Z	1,590	1	[ "language:en", "license:agpl-3.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]	[]	2025-02-07T21:47:35Z	null	--- license: agpl-3.0 language: - en size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: avatar_url dtype: string - name: name dtype: string - name: full_name dtype: string - name: created_at dtype: string - name: description dtype: string - name: default_branch dtype: string - name: open_issues dtype: int64 - name: stargazers_count dtype: int64 - name: forks_count dtype: int64 - name: watchers_count dtype: int64 - name: tags_url dtype: string - name: license dtype: string - name: topics sequence: string - name: size dtype: int64 - name: fork dtype: bool - name: updated_at dtype: string - name: has_build_zig dtype: bool - name: has_build_zig_zon dtype: bool - name: zig_minimum_version dtype: string - name: dependencies list: - name: commit dtype: string - name: name dtype: string - name: tar_url dtype: string - name: type dtype: string - name: url dtype: string - name: readme_content dtype: string - name: dependents sequence: string splits: - name: train num_bytes: 10622015 num_examples: 3287 download_size: 5235774 dataset_size: 10622015 --- This was created by converting database of Zigistry to a dataset. You can check the source code here: https://github.com/Zigistry/Zigistry_complete_dataset/blob/main/Zigistry_complete_dataset.ipynb --- dataset_info: features: - name: server dtype: int64 - name: name dtype: string - name: full_name dtype: string - name: description dtype: string - name: watchers_count dtype: int64 - name: forks_count dtype: int64 - name: license dtype: string - name: default_branch dtype: string - name: has_build_zig dtype: int64 - name: has_build_zig_zon dtype: int64 - name: fork dtype: bool - name: open_issues dtype: int64 - name: stargazers_count dtype: int64 - name: tags_url dtype: string - name: updated_at dtype: string - name: created_at dtype: string - name: size dtype: int64 - name: topics sequence: string - name: avatar_url dtype: string splits: - name: train num_bytes: 1328725 num_examples: 3414 download_size: 520172 dataset_size: 1328725 configs: - config_name: default data_files: - split: train path: data/train-* ---
Zigistry/programs	Zigistry	2025-04-29T16:22:33Z	2,021	0	[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]	[]	2025-03-23T10:48:05Z	null	--- dataset_info: features: - name: avatar_url dtype: string - name: name dtype: string - name: full_name dtype: string - name: created_at dtype: string - name: description dtype: string - name: default_branch dtype: string - name: open_issues dtype: int64 - name: stargazers_count dtype: int64 - name: forks_count dtype: int64 - name: watchers_count dtype: int64 - name: tags_url dtype: string - name: license dtype: string - name: topics sequence: string - name: size dtype: int64 - name: fork dtype: bool - name: updated_at dtype: string - name: has_build_zig dtype: bool - name: has_build_zig_zon dtype: bool - name: zig_minimum_version dtype: string - name: dependencies list: - name: commit dtype: string - name: name dtype: string - name: tar_url dtype: string - name: type dtype: string - name: url dtype: string - name: readme_content dtype: string - name: dependents sequence: string splits: - name: train num_bytes: 9577883 num_examples: 3035 download_size: 4738484 dataset_size: 9577883 configs: - config_name: default data_files: - split: train path: data/train-* ---
Ashay-6113/t2v_benchmark	Ashay-6113	2025-04-29T16:22:33Z	0	0	[ "license:cc", "size_categories:1K<n<10K", "modality:text", "modality:video", "library:datasets", "library:mlcroissant", "region:us" ]	[]	2025-04-29T14:13:31Z	null	--- license: cc ---
Zigistry/packages	Zigistry	2025-04-29T16:22:28Z	1,815	0	[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]	[]	2025-03-23T10:47:55Z	null	--- dataset_info: features: - name: avatar_url dtype: string - name: name dtype: string - name: full_name dtype: string - name: created_at dtype: string - name: description dtype: string - name: default_branch dtype: string - name: open_issues dtype: int64 - name: stargazers_count dtype: int64 - name: forks_count dtype: int64 - name: watchers_count dtype: int64 - name: tags_url dtype: string - name: license dtype: string - name: topics sequence: string - name: size dtype: int64 - name: fork dtype: bool - name: updated_at dtype: string - name: has_build_zig dtype: bool - name: has_build_zig_zon dtype: bool - name: zig_minimum_version dtype: string - name: dependencies list: - name: commit dtype: string - name: name dtype: string - name: tar_url dtype: string - name: type dtype: string - name: url dtype: string - name: readme_content dtype: string - name: dependents sequence: string splits: - name: train num_bytes: 3190298 num_examples: 816 download_size: 1558866 dataset_size: 3190298 configs: - config_name: default data_files: - split: train path: data/train-* ---
Pendrokar/TTS_Arena	Pendrokar	2025-04-29T16:22:24Z	1,563	4	[ "language:en", "size_categories:1K<n<10K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "arena" ]	[]	2024-10-11T16:52:25Z	null	--- configs: - config_name: summary data_files: - split: rejections path: tts_arena_vote_summary.tsv - split: rejections_3m path: tts_arena_vote_summary_3m.tsv - split: rejections_all path: tts_arena_vote_summary_all.tsv sep: "\t" language: - en tags: - arena pretty_name: TTS Spaces Arena Votes --- [TTS Arena's](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena) DB is _SQLlite_ DB file. The above is just a summary query that should be useful for TTS developers to evaluate faults of their model. ## Why no audio samples? Unsafe. Cannot constantly oversee the output of uncontrolled HuggingFace Spaces. While it could be safeguarded by using an ASR model before uploading, something unwanted may still slip through. ## Useful queries for TTS developers and evaluators ### All votes mentioning specified TTS model: ```sql SELECT spokentext, lang, chosen, rejected, count(spokentext) AS times, MAX(vl.timestamp) AS lastvote FROM "main"."spokentext" INNER JOIN votelog vl ON votelog_id = vl.id WHERE vl.chosen = "Pendrokar/xVASynth-TTS" OR vl.rejected = "Pendrokar/xVASynth-TTS" GROUP BY spokentext, chosen, rejected ORDER BY times DESC, spokentext ASC LIMIT 0, 49999; ``` ### All rejections of specified TTS model against another: ```sql SELECT spokentext, lang, chosen, rejected, count(spokentext) AS times, MAX(vl.timestamp) AS lastvote FROM "main"."spokentext" INNER JOIN votelog vl ON votelog_id = vl.id AND vl.rejected = "Pendrokar/xVASynth-TTS" GROUP BY spokentext, chosen ORDER BY spokentext ASC LIMIT 0, 49999; ``` ### All rejections of a TTS model against another: The one used in dataset viewer. Note that the `chosen` column may include models that the `rejected` model beat more times. That is also why `votes` may sometimes be even less than the amount of distinct chosen models. ```sql SELECT st.spokentext, vl.rejected, COUNT(vl.rejected) - COALESCE(chosen_counts.chosen_count, 0) AS votes, (COUNT(DISTINCT vl.chosen) \|\| ' ' \|\| GROUP_CONCAT(DISTINCT ' ' \|\| vl.chosen)) AS chosen, MAX(vl.timestamp) AS lastvote FROM votelog vl JOIN spokentext st ON vl.id = st.votelog_id LEFT JOIN ( SELECT st_inner.spokentext, vl_inner.chosen, COUNT(vl_inner.chosen) AS chosen_count FROM votelog vl_inner JOIN spokentext st_inner ON vl_inner.id = st_inner.votelog_id GROUP BY st_inner.spokentext, vl_inner.chosen ORDER BY chosen_count DESC ) AS chosen_counts ON st.spokentext = chosen_counts.spokentext AND vl.rejected = chosen_counts.chosen GROUP BY st.spokentext, vl.rejected HAVING votes > 0 AND lastvote BETWEEN datetime('now', '-1 month') AND datetime('now', 'localtime') ORDER BY ((votes * COUNT(DISTINCT vl.chosen)) / 2) DESC, COUNT(DISTINCT vl.chosen) DESC, st.spokentext ASC; ``` If you use this data in your publication, please cite us! Copy the BibTeX citation to cite this source: ```bibtext\n @misc{tts-arena, title = {Text to Speech Arena - Pendrokar's HF Spaces Fork}, author = {mrfakename and Srivastav, Vaibhav and Fourrier, Clémentine and Pouget, Lucain and Lacombe, Yoach and main and Gandhi, Sanchit}, year = 2024, publisher = {Hugging Face}, howpublished = "\\url{https://huggingface.co/spaces/TTS-AGI/TTS-Arena}" } ```
tomap1410/Liquidity_smr	tomap1410	2025-04-29T16:22:23Z	0	0	[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]	[]	2025-04-29T13:30:36Z	null	--- dataset_info: features: - name: task dtype: string - name: goals dtype: int64 - name: description dtype: string - name: complete dtype: string - name: store_place dtype: string - name: email_working dtype: string - name: id dtype: string splits: - name: train num_bytes: 123 num_examples: 1 download_size: 3164 dataset_size: 123 configs: - config_name: default data_files: - split: train path: data/train-* ---
fineinstructions-pretraining/nemotron_qa_1T	fineinstructions-pretraining	2025-04-29T16:22:22Z	1,612	0	[ "region:us" ]	[]	2025-04-25T01:19:03Z	null	"---\ndataset_info:\n- config_name: '0'\n features:\n - name: warc_record_id\n dtype: string\n (...TRUNCATED)
ttn1410/Liquidity_smr	ttn1410	2025-04-29T16:22:17Z	0	0	["size_categories:1K<n<10K","format:parquet","modality:text","library:datasets","library:pandas","li(...TRUNCATED)	[]	2025-04-29T13:30:35Z	null	"---\ndataset_info:\n features:\n - name: reports\n dtype: string\n - name: labels\n dtype:(...TRUNCATED)
yaolily/GenS-Video-150K	yaolily	2025-04-29T16:22:13Z	31	0	["task_categories:video-text-to-text","language:en","license:apache-2.0","size_categories:10K<n<100K(...TRUNCATED)	[ "video-text-to-text" ]	2025-03-13T15:41:47Z	null	"---\nlicense: apache-2.0\ntask_categories:\n- video-text-to-text\nlanguage:\n- en\nsize_categories:(...TRUNCATED)

End of preview. Expand in Data Studio

README.md exists but content is empty.

Downloads last month: 91

Size of downloaded dataset files:

46.4 MB

Size of the auto-converted Parquet files:

46.4 MB

Number of rows:

67,449