The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'config' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 620, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'config' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'config' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1420, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
uid
string | id
string | organization
string | name
string | created_at
timestamp[us] | last_modified
string | trending_score
int64 | likes
int64 | tags
sequence | config
dict | results
null | runtime_stage
string | card_data
dict | sources
sequence | runtime_last_modified
string | has_discussion
bool | enriched
dict | approval_status
string | editor_short_description
string | has_results
null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
669d17bbe99ea743cfde99b3 | SUSTech/ChineseSafe-Benchmark | SUSTech | ChineseSafe-Benchmark | 2024-07-21T14:14:19 | 2024-12-28 06:53:49 | 0 | 11 | [
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} | approved | A benchmark that evaluates LLMs' ability to moderate Chinese content by measuring their performance in identifying safe and unsafe text across multiple categories. | null |
672b47b91b5f7a5e97a0e631 | Marqo/Ecommerce-Embedding-Benchmarks | Marqo | Ecommerce-Embedding-Benchmarks | 2024-11-06T10:40:57 | 2024-11-11 15:57:46 | 0 | 17 | [
"eval:generation",
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"title": "Ecommerce Embedding Benchmarks"
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} | approved | Compares ecommerce embedding models on multimodal product retrieval tasks. | null |
66e7fad2f0053c645b8107df | Inferless/LLM-Inference-Benchmark | Inferless | LLM-Inference-Benchmark | 2024-09-16T09:30:58 | 2024-10-03 08:38:24 | 0 | 8 | [
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"title": "LLM Inference Benchmark"
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} | approved | Compares the inference speed and performance of LLMs using different libraries. | null |
671bd9d914479a1a119853f0 | argmaxinc/whisperkit-benchmarks | argmaxinc | whisperkit-benchmarks | 2024-10-25T17:48:09 | 2024-12-31 00:07:47 | 0 | 17 | [
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} | approved | null | null |
65bf93c6ba3ff03d686c3667 | utrobinmv/TREX_benchmark_en_ru_zh | utrobinmv | TREX_benchmark_en_ru_zh | 2024-02-04T13:40:22 | 2024-11-04 20:37:05 | 0 | 6 | [
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} | approved | null | null |
670cdeb1dec346e701aa390b | m42-health/MEDIC-Benchmark | m42-health | MEDIC-Benchmark | 2024-10-14T09:04:49 | 2025-01-20 08:03:24 | 1 | 5 | [
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} | approved | null | null |
6759454b7ce296e512352de2 | nyunai/edge-llm-leaderboard | nyunai | edge-llm-leaderboard | 2024-12-11T07:54:51 | 2024-12-16 12:50:13 | 0 | 18 | [
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} | approved | null | null |
6730c9858b5a645918504e5b | StarscreamDeceptions/Multilingual-MMLU-Benchmark-Leaderboard | StarscreamDeceptions | Multilingual-MMLU-Benchmark-Leaderboard | 2024-11-10T14:56:05 | 2024-11-25 07:51:11 | 1 | 11 | [
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} | approved | This leaderboard is dedicated to evaluating and comparing the multilingual capabilities. | null |
66b4896bcc8441dc730567e5 | panuthept/thai_sentence_embedding_benchmark | panuthept | thai_sentence_embedding_benchmark | 2024-08-08T09:01:31 | 2024-08-08 16:22:44 | 1 | 13 | [
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}
} | approved | A benchmark that evaluates Thai sentence embedding models across multiple tasks including semantic similarity, classification, and retrieval. | null |
67909d72a1832c8a7cdd4599 | galileo-ai/agent-leaderboard | galileo-ai | agent-leaderboard | 2025-01-22T07:25:38 | 2025-02-14 12:17:21 | 89 | 184 | [
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} | [
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}
} | approved | Evaluating LLM capabilities in tool usage and functions | null |
633581939ac57cf2967be686 | mteb/leaderboard | mteb | leaderboard | 2022-09-29T11:29:23 | 2025-02-19 01:28:55 | 83 | 4,847 | [
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}
} | approved | An arena ranking LLMs on retrieval capabilities. | null |
673d9e5320e867fc500f2d47 | AV-Odyssey/AV_Odyssey_Bench_Leaderboard | AV-Odyssey | AV_Odyssey_Bench_Leaderboard | 2024-11-20T08:31:15 | 2024-12-14 11:55:32 | 0 | 5 | [
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},
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}
} | approved | AV-Odyssey Bench, a comprehensive audio-visual benchmark. | null |
6717f4db2f911af3479d7171 | snap-stanford/stark-leaderboard | snap-stanford | stark-leaderboard | 2024-10-22T18:54:19 | 2025-02-13 03:49:47 | 0 | 6 | [
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6710b14ff21765032b0d4180 | Salesforce/GIFT-Eval | Salesforce | GIFT-Eval | 2024-10-17T06:40:15 | 2025-02-20 07:09:16 | 3 | 53 | [
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65e9738a063e16f1c3075eb0 | OpenSafetyLab/Salad-Bench-Leaderboard | OpenSafetyLab | Salad-Bench-Leaderboard | 2024-03-07T07:58:02 | 2024-03-25 12:14:44 | 0 | 7 | [
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65c5ebb873080759612d8f94 | q-future/Q-Bench-Leaderboard | q-future | Q-Bench-Leaderboard | 2024-02-09T09:09:12 | 2024-07-18 06:06:20 | 0 | 10 | [
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657c116e64dab2f4c905bb3d | colab-potsdam/clem-leaderboard | colab-potsdam | clem-leaderboard | 2023-12-15T08:42:22 | 2025-02-17 14:37:42 | 0 | 6 | [
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655e4654fcbe7329b92cf372 | mesolitica/malaysian-embedding-leaderboard | mesolitica | malaysian-embedding-leaderboard | 2023-11-22T18:20:04 | 2024-09-22 14:46:15 | 0 | 6 | [
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64dc410a96f0f217e44772d8 | AILab-CVC/SEED-Bench_Leaderboard | AILab-CVC | SEED-Bench_Leaderboard | 2023-08-16T03:22:50 | 2025-01-21 09:07:19 | 0 | 81 | [
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654dc45a956e2f124cdfba5a | mesolitica/malay-llm-leaderboard | mesolitica | malay-llm-leaderboard | 2023-11-10T05:49:14 | 2024-06-15 10:17:46 | 0 | 8 | [
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6464d48d27d27c1fe747b63e | OpenGenAI/parti-prompts-leaderboard | OpenGenAI | parti-prompts-leaderboard | 2023-05-17T13:20:13 | 2023-09-14 18:52:06 | 0 | 32 | [
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649dad6ce0fff1ed099ba417 | mlfoundations/VisIT-Bench-Leaderboard | mlfoundations | VisIT-Bench-Leaderboard | 2023-06-29T16:12:28 | 2024-11-21 20:38:34 | 0 | 15 | [
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67541488f49782992ec43e25 | PartAI/pteb-leaderboard | PartAI | pteb-leaderboard | 2024-12-07T09:25:28 | 2024-12-28 07:30:18 | 1 | 12 | [
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6746d88df3ca91ce07479dc0 | microsoft/MageBench-Leaderboard | microsoft | MageBench-Leaderboard | 2024-11-27T08:30:05 | 2025-01-17 06:36:35 | 1 | 7 | [
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679691be7d631a6694d6e883 | Navid-AI/The-Arabic-Rag-Leaderboard | Navid-AI | The-Arabic-Rag-Leaderboard | 2025-01-26T19:49:18 | 2025-02-09 23:49:02 | 1 | 9 | [
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6752a095c341d1f41069ec61 | maum-ai/KOFFVQA-Leaderboard | maum-ai | KOFFVQA-Leaderboard | 2024-12-06T06:58:29 | 2025-02-18 09:34:10 | 1 | 7 | [
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676c189c7cc34236042b2517 | atlasia/darija-tokenizers-leaderboard | atlasia | darija-tokenizers-leaderboard | 2024-12-25T14:37:16 | 2025-01-18 21:25:17 | 1 | 7 | [
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6738561119cbbe30918d6435 | PartAI/open-persian-llm-leaderboard | PartAI | open-persian-llm-leaderboard | 2024-11-16T08:21:37 | 2024-12-07 00:38:28 | 1 | 54 | [
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673517eae90a2e0b0d784972 | ServiceNow/browsergym-leaderboard | ServiceNow | browsergym-leaderboard | 2024-11-13T21:19:38 | 2025-02-07 21:08:13 | 1 | 12 | [
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66f44fc2304dc814adaffe0a | JMMMU/JMMMU_Leaderboard | JMMMU | JMMMU_Leaderboard | 2024-09-25T18:00:34 | 2024-11-03 13:11:52 | 1 | 13 | [
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668cb1fc5a19e1af6713d3ad | MERaLiON/AudioBench-Leaderboard | MERaLiON | AudioBench-Leaderboard | 2024-07-09T03:43:56 | 2025-01-23 03:14:49 | 1 | 12 | [
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6692b45de32997bdf71eeb24 | AssistantBench/leaderboard | AssistantBench | leaderboard | 2024-07-13T17:07:41 | 2025-01-16 06:23:12 | 1 | 9 | [
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66758e7e3cee23227431b72b | mideind/icelandic-llm-leaderboard | mideind | icelandic-llm-leaderboard | 2024-06-21T14:30:22 | 2025-01-13 10:01:45 | 1 | 6 | [
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66902a833b5c1bb7bdbca803 | Aiera/aiera-finance-leaderboard | Aiera | aiera-finance-leaderboard | 2024-07-11T18:54:59 | 2024-12-05 21:46:29 | 1 | 5 | [
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66b2e7ef523bf90aa7062503 | ThaiLLM-Leaderboard/leaderboard | ThaiLLM-Leaderboard | leaderboard | 2024-08-07T03:20:15 | 2025-02-13 15:22:36 | 1 | 44 | [
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677f99fe8d5985fec9dcaea3 | omlab/open-agent-leaderboard | omlab | open-agent-leaderboard | 2025-01-09T09:42:22 | 2025-02-11 05:53:58 | 1 | 14 | [
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664ff04e5a78417f01edc41c | yentinglin/open-tw-llm-leaderboard | yentinglin | open-tw-llm-leaderboard | 2024-05-24T01:41:34 | 2024-06-08 03:34:27 | 1 | 20 | [
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6656d12188d7b3ef008d4de5 | Exploration-Lab/IL-TUR-Leaderboard | Exploration-Lab | IL-TUR-Leaderboard | 2024-05-29T06:54:25 | 2024-11-26 11:47:17 | 1 | 8 | [
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663e41b203c47894a6e53213 | AIR-Bench/leaderboard | AIR-Bench | leaderboard | 2024-05-10T15:48:02 | 2024-12-18 12:49:03 | 1 | 66 | [
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663ddd07708cec39aee30881 | sartifyllc/Swahili_LLM_Leaderboard | sartifyllc | Swahili_LLM_Leaderboard | 2024-05-10T08:38:31 | 2024-05-10 09:10:59 | 1 | 5 | [
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666c7dab79e9def0599ff655 | Salesforce/crm_llm_leaderboard | Salesforce | crm_llm_leaderboard | 2024-06-14T17:28:11 | 2024-07-10 00:37:01 | 1 | 17 | [
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66039ba97650c6c4369aceb8 | instructkr/LogicKor-leaderboard | instructkr | LogicKor-leaderboard | 2024-03-27T04:08:09 | 2024-03-27 04:13:08 | 1 | 36 | [
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6602b511e4dcf61d96b7deda | valory/olas-prediction-leaderboard | valory | olas-prediction-leaderboard | 2024-03-26T11:44:17 | 2025-01-31 09:03:46 | 1 | 14 | [
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65824791b1c4ab777ae0d6b7 | MERaLiON/SeaEval_Leaderboard | MERaLiON | SeaEval_Leaderboard | 2023-12-20T01:46:57 | 2024-12-31 05:16:16 | 1 | 8 | [
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656e4128896aeb1168858cf5 | Nexusflow/Nexus_Function_Calling_Leaderboard | Nexusflow | Nexus_Function_Calling_Leaderboard | 2023-12-04T21:14:16 | 2024-03-22 00:27:33 | 1 | 90 | [
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647c02aeb31514a4a6ed3fe1 | uonlp/open_multilingual_llm_leaderboard | uonlp | open_multilingual_llm_leaderboard | 2023-06-04T03:19:10 | 2024-11-23 18:57:01 | 1 | 53 | [
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657dd2fae50ca9a699bb789f | OpenGVLab/MVBench_Leaderboard | OpenGVLab | MVBench_Leaderboard | 2023-12-16T16:40:26 | 2024-12-02 05:16:38 | 1 | 33 | [
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6477a87af911e9e76c68efc9 | qiantong-xu/toolbench-leaderboard | qiantong-xu | toolbench-leaderboard | 2023-05-31T20:05:14 | 2023-11-13 18:07:56 | 1 | 65 | [
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} | approved | Evaluates LLMs on API function calling tasks. | null |
678631eb58328c47559cbf9e | toloka/u-math-leaderboard | toloka | u-math-leaderboard | 2025-01-14T09:44:11 | 2025-02-18 12:01:39 | 2 | 6 | [
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6760f5d6470988736686f069 | opencompass/Open_LMM_Reasoning_Leaderboard | opencompass | Open_LMM_Reasoning_Leaderboard | 2024-12-17T03:53:58 | 2025-02-10 13:36:44 | 2 | 30 | [
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6687c3599ea2b2e70cce52a5 | openGPT-X/european-llm-leaderboard | openGPT-X | european-llm-leaderboard | 2024-07-05T09:56:41 | 2024-09-14 15:30:01 | 2 | 91 | [
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6627574f6f29e1f14c937eec | MohamedRashad/arabic-tokenizers-leaderboard | MohamedRashad | arabic-tokenizers-leaderboard | 2024-04-23T06:38:07 | 2024-12-10 03:04:42 | 3 | 31 | [
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667b29b383f9e85330f260fa | vidore/vidore-leaderboard | vidore | vidore-leaderboard | 2024-06-25T20:33:55 | 2024-12-05 10:28:29 | 6 | 114 | [
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65d70863ef58a69470ead2fc | openlifescienceai/open_medical_llm_leaderboard | openlifescienceai | open_medical_llm_leaderboard | 2024-02-22T08:40:03 | 2025-01-29 06:03:29 | 6 | 343 | [
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} | approved | Evaluates LLMs across a diverse array of medical datasets. | null |
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670387ebc04fc0fe267222ad | LLM360/de-arena | LLM360 | de-arena | 2024-10-07T07:04:11 | 2024-11-20 22:49:45 | 0 | 24 | [
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665596eb33fc74415352f86b | yanolja/arena | yanolja | arena | 2024-05-28T08:33:47 | 2024-11-21 06:14:19 | 0 | 7 | [
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664885ecb5e5f95dc65dc3d9 | Auto-Arena/Leaderboard | Auto-Arena | Leaderboard | 2024-05-18T10:41:48 | 2024-10-07 02:37:00 | 0 | 21 | [
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65e5154f2b28b798a0d6b975 | SkalskiP/YOLO-ARENA | SkalskiP | YOLO-ARENA | 2024-03-04T00:26:55 | 2024-05-29 06:58:11 | 0 | 30 | [
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65a2cd9890b5e87bcdf9f2e2 | yutohub/japanese-chatbot-arena-leaderboard | yutohub | japanese-chatbot-arena-leaderboard | 2024-01-13T17:51:20 | 2024-03-08 11:16:07 | 0 | 34 | [
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677b478c59e4ac32ab8a4939 | Vchitect/VBench_Video_Arena | Vchitect | VBench_Video_Arena | 2025-01-06T03:01:32 | 2025-01-14 07:51:18 | 1 | 12 | [
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6752eb667be42a104ca5841b | Oriserve/ASR_arena | Oriserve | ASR_arena | 2024-12-06T12:17:42 | 2024-12-27 07:40:30 | 1 | 5 | [
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6766c507d7a63c4852cd8a03 | atlasia/darija-chatbot-arena | atlasia | darija-chatbot-arena | 2024-12-21T13:39:19 | 2025-02-10 22:02:42 | 1 | 12 | [
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674eea98c6a6ef2849b4a0ac | bgsys/background-removal-arena | bgsys | background-removal-arena | 2024-12-03T11:25:12 | 2025-01-31 09:20:11 | 1 | 60 | [
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6719d6a46937670ca681151e | ArtificialAnalysis/Video-Generation-Arena-Leaderboard | ArtificialAnalysis | Video-Generation-Arena-Leaderboard | 2024-10-24T05:09:56 | 2024-11-24 20:14:48 | 1 | 50 | [
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66fd3b0a8600fb45c8ce43b2 | nyanko7/text-to-anime-arena | nyanko7 | text-to-anime-arena | 2024-10-02T12:22:34 | 2024-10-03 05:47:40 | 1 | 5 | [
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} | approved | Text to Image (Anime/Illustration) Generation Arena | null |
66ab49f13db4dafee596a198 | Vikhrmodels/arenahardlb | Vikhrmodels | arenahardlb | 2024-08-01T08:40:17 | 2025-02-13 11:08:55 | 1 | 42 | [
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} | approved | null | null |
End of preview.
Subsets and Splits