Add files using upload-large-folder tool
Browse files- checksums.sha256 +6 -4
- croissant/clawbenchpro_collection_croissant.json +287 -0
- croissant/huggingface_auto_croissant.json +1 -0
- croissant/openreview_croissant.json +1 -0
- croissant/persona_aligned_mix_200_croissant.json +6 -2
- croissant/round_01_aligned_mix_800_croissant.json +6 -2
- manifest.json +1 -1
checksums.sha256
CHANGED
|
@@ -3,12 +3,14 @@
|
|
| 3 |
5b56373d7af94293eff83e888fdbfe1f40ebdb41d2724c3475671e10e3d86070 .hfignore
|
| 4 |
4e7ce122f89dff36d79ce68019940fb84c4824862e07381955b603364a421beb LICENSE
|
| 5 |
f608aa6e2b74f8762b17818d5af6c8a6322ed30932ad88704e41f32e29088485 README.md
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
|
|
|
|
|
|
| 9 |
aa1265325f58610ba9864647d132772414a9c6b594dc5e9b688c2a6d316b0f43 dataset_index.csv
|
| 10 |
c40acaaf392927804d85b7496afeb13135205dfbd8828c562b1c6866431ff151 dataset_index.jsonl
|
| 11 |
-
|
| 12 |
011d2f2a47ada6ad72d66bd8fd275ea7a8ee6ef8301fdede1f6b9eef2400297d materialize_assets.py
|
| 13 |
1d2f56b5d90ce106996e79ff7563c08d4855bcc67924c2ebc67b77b6eb50d14e persona_aligned_mix_200/README.md
|
| 14 |
bc557847f6a9703665bee383921cde25d8ee4a0c771286686935aa5c7fa0b9bb persona_aligned_mix_200/checksums.sha256
|
|
|
|
| 3 |
5b56373d7af94293eff83e888fdbfe1f40ebdb41d2724c3475671e10e3d86070 .hfignore
|
| 4 |
4e7ce122f89dff36d79ce68019940fb84c4824862e07381955b603364a421beb LICENSE
|
| 5 |
f608aa6e2b74f8762b17818d5af6c8a6322ed30932ad88704e41f32e29088485 README.md
|
| 6 |
+
7f634c0f727e8ce82e241586d3524fbc5e6ec1d8dccf8bd81c7db897739a8137 croissant/clawbenchpro_collection_croissant.json
|
| 7 |
+
470c0df27cc256f3be7927090df53bd395b1a5c2b95bb992930fd1b5022ba1d3 croissant/huggingface_auto_croissant.json
|
| 8 |
+
0eaef57248c7e718f56188c66d82128d4c05f7912bad8b9e6b125c3adb775ecd croissant/openreview_croissant.json
|
| 9 |
+
a39dfb9069001a2190d69bde656d6a5695ee6e3f37aadb95c20c549ecfa33f18 croissant/persona_aligned_mix_200_croissant.json
|
| 10 |
+
6ae589ec7e7f6edc25d03abe224a65143be887aa520cd98d687b8269758366e5 croissant/round_01_aligned_mix_800_croissant.json
|
| 11 |
aa1265325f58610ba9864647d132772414a9c6b594dc5e9b688c2a6d316b0f43 dataset_index.csv
|
| 12 |
c40acaaf392927804d85b7496afeb13135205dfbd8828c562b1c6866431ff151 dataset_index.jsonl
|
| 13 |
+
b1c929f4988e9ec2e172a2b0779cb8d15a366363e57802823086fdc90a633015 manifest.json
|
| 14 |
011d2f2a47ada6ad72d66bd8fd275ea7a8ee6ef8301fdede1f6b9eef2400297d materialize_assets.py
|
| 15 |
1d2f56b5d90ce106996e79ff7563c08d4855bcc67924c2ebc67b77b6eb50d14e persona_aligned_mix_200/README.md
|
| 16 |
bc557847f6a9703665bee383921cde25d8ee4a0c771286686935aa5c7fa0b9bb persona_aligned_mix_200/checksums.sha256
|
croissant/clawbenchpro_collection_croissant.json
ADDED
|
@@ -0,0 +1,287 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"@context": {
|
| 3 |
+
"@language": "en",
|
| 4 |
+
"@vocab": "https://schema.org/",
|
| 5 |
+
"sc": "https://schema.org/",
|
| 6 |
+
"cr": "http://mlcommons.org/croissant/",
|
| 7 |
+
"citeAs": "cr:citeAs",
|
| 8 |
+
"rai": "http://mlcommons.org/croissant/RAI/",
|
| 9 |
+
"prov": "http://www.w3.org/ns/prov#",
|
| 10 |
+
"dct": "http://purl.org/dc/terms/",
|
| 11 |
+
"conformsTo": "dct:conformsTo",
|
| 12 |
+
"dataType": {
|
| 13 |
+
"@id": "cr:dataType",
|
| 14 |
+
"@type": "@vocab"
|
| 15 |
+
},
|
| 16 |
+
"distribution": "sc:distribution",
|
| 17 |
+
"recordSet": "cr:recordSet",
|
| 18 |
+
"field": "cr:field",
|
| 19 |
+
"source": "cr:source",
|
| 20 |
+
"extract": "cr:extract",
|
| 21 |
+
"column": "cr:column",
|
| 22 |
+
"fileObject": "cr:fileObject",
|
| 23 |
+
"fileSet": "cr:fileSet",
|
| 24 |
+
"includes": "cr:includes",
|
| 25 |
+
"containedIn": "cr:containedIn",
|
| 26 |
+
"dataLimitations": "rai:dataLimitations",
|
| 27 |
+
"dataBiases": "rai:dataBiases",
|
| 28 |
+
"personalSensitiveInformation": "rai:personalSensitiveInformation",
|
| 29 |
+
"dataUseCases": "rai:dataUseCases",
|
| 30 |
+
"dataSocialImpact": "rai:dataSocialImpact",
|
| 31 |
+
"hasSyntheticData": "rai:hasSyntheticData",
|
| 32 |
+
"wasDerivedFrom": "prov:wasDerivedFrom",
|
| 33 |
+
"wasGeneratedBy": "prov:wasGeneratedBy"
|
| 34 |
+
},
|
| 35 |
+
"@type": "sc:Dataset",
|
| 36 |
+
"name": "ClawBenchPro",
|
| 37 |
+
"description": "A compact, builder-based workplace-agent benchmark collection containing round_01_aligned_mix_800 and persona_aligned_mix_200.",
|
| 38 |
+
"url": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro",
|
| 39 |
+
"license": "https://spdx.org/licenses/MIT.html",
|
| 40 |
+
"conformsTo": [
|
| 41 |
+
"http://mlcommons.org/croissant/1.1",
|
| 42 |
+
"http://mlcommons.org/croissant/RAI/1.0"
|
| 43 |
+
],
|
| 44 |
+
"version": "1.0.0",
|
| 45 |
+
"datePublished": "2026-05-06",
|
| 46 |
+
"creator": {
|
| 47 |
+
"@type": "sc:Organization",
|
| 48 |
+
"name": "Nanoclaw contributors"
|
| 49 |
+
},
|
| 50 |
+
"keywords": [
|
| 51 |
+
"agent benchmark",
|
| 52 |
+
"workplace tasks",
|
| 53 |
+
"tool use",
|
| 54 |
+
"multi-turn",
|
| 55 |
+
"skills",
|
| 56 |
+
"synthetic data"
|
| 57 |
+
],
|
| 58 |
+
"distribution": [
|
| 59 |
+
{
|
| 60 |
+
"@type": "cr:FileObject",
|
| 61 |
+
"@id": "huggingface_repository",
|
| 62 |
+
"name": "ClawBenchPro Hugging Face repository",
|
| 63 |
+
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro",
|
| 64 |
+
"encodingFormat": "git+https",
|
| 65 |
+
"sha256": "a9e3119485d5f9bef4aedd8676fc39f30160e15a802afb95512b3447dbdf8236"
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"@type": "cr:FileObject",
|
| 69 |
+
"@id": "dataset_index_csv",
|
| 70 |
+
"name": "dataset_index.csv",
|
| 71 |
+
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/resolve/main/dataset_index.csv",
|
| 72 |
+
"encodingFormat": "text/csv",
|
| 73 |
+
"sha256": "aa1265325f58610ba9864647d132772414a9c6b594dc5e9b688c2a6d316b0f43"
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"@type": "cr:FileSet",
|
| 77 |
+
"@id": "round_01_tasks",
|
| 78 |
+
"name": "round_01_tasks",
|
| 79 |
+
"containedIn": {
|
| 80 |
+
"@id": "huggingface_repository"
|
| 81 |
+
},
|
| 82 |
+
"includes": "round_01_aligned_mix_800/tasks/**/*",
|
| 83 |
+
"encodingFormat": "text/*"
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"@type": "cr:FileSet",
|
| 87 |
+
"@id": "round_01_skills",
|
| 88 |
+
"name": "round_01_skills",
|
| 89 |
+
"containedIn": {
|
| 90 |
+
"@id": "huggingface_repository"
|
| 91 |
+
},
|
| 92 |
+
"includes": "round_01_aligned_mix_800/skills/**/*",
|
| 93 |
+
"encodingFormat": "text/*"
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"@type": "cr:FileSet",
|
| 97 |
+
"@id": "round_01_eval_manifests",
|
| 98 |
+
"name": "round_01_eval_manifests",
|
| 99 |
+
"containedIn": {
|
| 100 |
+
"@id": "huggingface_repository"
|
| 101 |
+
},
|
| 102 |
+
"includes": "round_01_aligned_mix_800/eval_manifests/*",
|
| 103 |
+
"encodingFormat": "text/*"
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"@type": "cr:FileSet",
|
| 107 |
+
"@id": "persona_tasks",
|
| 108 |
+
"name": "persona_tasks",
|
| 109 |
+
"containedIn": {
|
| 110 |
+
"@id": "huggingface_repository"
|
| 111 |
+
},
|
| 112 |
+
"includes": "persona_aligned_mix_200/tasks/**/*",
|
| 113 |
+
"encodingFormat": "text/*"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"@type": "cr:FileSet",
|
| 117 |
+
"@id": "persona_skills",
|
| 118 |
+
"name": "persona_skills",
|
| 119 |
+
"containedIn": {
|
| 120 |
+
"@id": "huggingface_repository"
|
| 121 |
+
},
|
| 122 |
+
"includes": "persona_aligned_mix_200/skills/**/*",
|
| 123 |
+
"encodingFormat": "text/*"
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"@type": "cr:FileSet",
|
| 127 |
+
"@id": "persona_eval_manifests",
|
| 128 |
+
"name": "persona_eval_manifests",
|
| 129 |
+
"containedIn": {
|
| 130 |
+
"@id": "huggingface_repository"
|
| 131 |
+
},
|
| 132 |
+
"includes": "persona_aligned_mix_200/eval_manifests/*",
|
| 133 |
+
"encodingFormat": "text/*"
|
| 134 |
+
}
|
| 135 |
+
],
|
| 136 |
+
"citeAs": "ClawBenchPro: A compact, builder-based workplace-agent benchmark collection. https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro",
|
| 137 |
+
"recordSet": [
|
| 138 |
+
{
|
| 139 |
+
"@type": "cr:RecordSet",
|
| 140 |
+
"@id": "task_index",
|
| 141 |
+
"name": "Task index",
|
| 142 |
+
"description": "One row per task in ClawBenchPro. This index points to task YAML files, prompt files, task-local builders, generated asset locations, and skill counts.",
|
| 143 |
+
"field": [
|
| 144 |
+
{
|
| 145 |
+
"@type": "cr:Field",
|
| 146 |
+
"@id": "dataset",
|
| 147 |
+
"name": "dataset",
|
| 148 |
+
"dataType": "sc:Text",
|
| 149 |
+
"source": {
|
| 150 |
+
"fileObject": {
|
| 151 |
+
"@id": "dataset_index_csv"
|
| 152 |
+
},
|
| 153 |
+
"extract": {
|
| 154 |
+
"column": "dataset"
|
| 155 |
+
}
|
| 156 |
+
}
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"@type": "cr:Field",
|
| 160 |
+
"@id": "task_id",
|
| 161 |
+
"name": "task_id",
|
| 162 |
+
"dataType": "sc:Text",
|
| 163 |
+
"source": {
|
| 164 |
+
"fileObject": {
|
| 165 |
+
"@id": "dataset_index_csv"
|
| 166 |
+
},
|
| 167 |
+
"extract": {
|
| 168 |
+
"column": "task_id"
|
| 169 |
+
}
|
| 170 |
+
}
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"@type": "cr:Field",
|
| 174 |
+
"@id": "category",
|
| 175 |
+
"name": "category",
|
| 176 |
+
"dataType": "sc:Text",
|
| 177 |
+
"source": {
|
| 178 |
+
"fileObject": {
|
| 179 |
+
"@id": "dataset_index_csv"
|
| 180 |
+
},
|
| 181 |
+
"extract": {
|
| 182 |
+
"column": "category"
|
| 183 |
+
}
|
| 184 |
+
}
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"@type": "cr:Field",
|
| 188 |
+
"@id": "task_file",
|
| 189 |
+
"name": "task_file",
|
| 190 |
+
"dataType": "sc:Text",
|
| 191 |
+
"source": {
|
| 192 |
+
"fileObject": {
|
| 193 |
+
"@id": "dataset_index_csv"
|
| 194 |
+
},
|
| 195 |
+
"extract": {
|
| 196 |
+
"column": "task_file"
|
| 197 |
+
}
|
| 198 |
+
}
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"@type": "cr:Field",
|
| 202 |
+
"@id": "asset_dir",
|
| 203 |
+
"name": "asset_dir",
|
| 204 |
+
"dataType": "sc:Text",
|
| 205 |
+
"source": {
|
| 206 |
+
"fileObject": {
|
| 207 |
+
"@id": "dataset_index_csv"
|
| 208 |
+
},
|
| 209 |
+
"extract": {
|
| 210 |
+
"column": "asset_dir"
|
| 211 |
+
}
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"@type": "cr:Field",
|
| 216 |
+
"@id": "prompt_files",
|
| 217 |
+
"name": "prompt_files",
|
| 218 |
+
"dataType": "sc:Text",
|
| 219 |
+
"source": {
|
| 220 |
+
"fileObject": {
|
| 221 |
+
"@id": "dataset_index_csv"
|
| 222 |
+
},
|
| 223 |
+
"extract": {
|
| 224 |
+
"column": "prompt_files"
|
| 225 |
+
}
|
| 226 |
+
}
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"@type": "cr:Field",
|
| 230 |
+
"@id": "skill_count",
|
| 231 |
+
"name": "skill_count",
|
| 232 |
+
"dataType": "sc:Integer",
|
| 233 |
+
"source": {
|
| 234 |
+
"fileObject": {
|
| 235 |
+
"@id": "dataset_index_csv"
|
| 236 |
+
},
|
| 237 |
+
"extract": {
|
| 238 |
+
"column": "skill_count"
|
| 239 |
+
}
|
| 240 |
+
}
|
| 241 |
+
}
|
| 242 |
+
]
|
| 243 |
+
}
|
| 244 |
+
],
|
| 245 |
+
"rai:dataLimitations": "ClawBenchPro is intended for evaluating workplace-style agent behavior in controlled synthetic tasks. It is not representative of all languages, geographies, industries, accessibility needs, safety-critical domains, or real production workplaces. It should not be used as the sole basis for deployment, hiring, medical, legal, financial, or safety-critical decisions.",
|
| 246 |
+
"rai:dataBiases": "The tasks were selected and generated to stress agentic workflows, tool use, state tracking, and benchmark coverage. This introduces selection bias toward tasks that are easy to package as local workspaces and may underrepresent low-resource languages, non-technical occupations, and domains requiring embodied or social interaction.",
|
| 247 |
+
"rai:personalSensitiveInformation": "The dataset is designed as synthetic benchmark data and is not intended to contain real personal data. Some tasks may include fictional personas, synthetic internal URLs, synthetic keys, policy-sensitive text, or domain-specific records as benchmark fixtures.",
|
| 248 |
+
"rai:dataUseCases": "Validated use cases include comparative evaluation of language-agent runners on workplace-style tasks, category-level benchmark analysis, and reproducibility studies. The dataset is not validated for model fine-tuning, safety certification, demographic fairness auditing, or real-world job-performance measurement.",
|
| 249 |
+
"rai:dataSocialImpact": "Potential positive impacts include more reproducible agent evaluation and better measurement of multi-turn, tool-using systems. Risks include overgeneralizing benchmark scores, optimizing narrowly to synthetic tasks, or exposing agents to policy-sensitive fixtures without appropriate safeguards. The package documents task categories and uses local synthetic environments to reduce dependence on external services.",
|
| 250 |
+
"rai:hasSyntheticData": true,
|
| 251 |
+
"prov:wasDerivedFrom": [
|
| 252 |
+
{
|
| 253 |
+
"@id": "nanoclaw_generation_pipeline",
|
| 254 |
+
"name": "Nanoclaw task generation and import pipeline"
|
| 255 |
+
}
|
| 256 |
+
],
|
| 257 |
+
"prov:wasGeneratedBy": [
|
| 258 |
+
{
|
| 259 |
+
"@type": "prov:Activity",
|
| 260 |
+
"name": "ClawBenchPro packaging",
|
| 261 |
+
"description": "Tasks were generated, staged, imported into Nanoclaw task YAML format, validated with env_builder.py builders, grouped into two aligned benchmark datasets, sanitized for local path leakage, and exported in compact builder-only form for hosting.",
|
| 262 |
+
"prov:used": [
|
| 263 |
+
"scripts/unpack_task_batch.py",
|
| 264 |
+
"scripts/import_staged_tasks.py",
|
| 265 |
+
"scripts/build_published_workplace_datasets.py",
|
| 266 |
+
"scripts/build_clawbenchpro_hf_dataset.py"
|
| 267 |
+
]
|
| 268 |
+
}
|
| 269 |
+
],
|
| 270 |
+
"additionalProperty": [
|
| 271 |
+
{
|
| 272 |
+
"@type": "sc:PropertyValue",
|
| 273 |
+
"name": "task_count",
|
| 274 |
+
"value": 1000
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"@type": "sc:PropertyValue",
|
| 278 |
+
"name": "dataset_root",
|
| 279 |
+
"value": "."
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"@type": "sc:PropertyValue",
|
| 283 |
+
"name": "group_counts",
|
| 284 |
+
"value": "{\"persona_aligned_mix_200\": 200, \"round_01_aligned_mix_800\": 800}"
|
| 285 |
+
}
|
| 286 |
+
]
|
| 287 |
+
}
|
croissant/huggingface_auto_croissant.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"@context":{"@language":"en","@vocab":"https://schema.org/","arrayShape":"cr:arrayShape","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","containedIn":"cr:containedIn","cr":"http://mlcommons.org/croissant/","data":{"@id":"cr:data","@type":"@json"},"dataBiases":"cr:dataBiases","dataCollection":"cr:dataCollection","dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isArray":"cr:isArray","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","personalSensitiveInformation":"cr:personalSensitiveInformation","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform"},"@type":"sc:Dataset","distribution":[{"@type":"cr:FileObject","@id":"repo","name":"repo","description":"The Hugging Face git repository.","contentUrl":"https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/refs%2Fconvert%2Fparquet","encodingFormat":"git+https","sha256":"https://github.com/mlcommons/croissant/issues/80"},{"@type":"cr:FileSet","@id":"parquet-files-for-config-default","containedIn":{"@id":"repo"},"encodingFormat":"application/x-parquet","includes":"default/*/*.parquet"},{"@type":"cr:FileSet","@id":"parquet-files-for-config-persona_aligned_mix_200","containedIn":{"@id":"repo"},"encodingFormat":"application/x-parquet","includes":"persona_aligned_mix_200/*/*.parquet"},{"@type":"cr:FileSet","@id":"parquet-files-for-config-round_01_aligned_mix_800","containedIn":{"@id":"repo"},"encodingFormat":"application/x-parquet","includes":"round_01_aligned_mix_800/*/*.parquet"}],"recordSet":[{"@type":"cr:RecordSet","dataType":"cr:Split","key":{"@id":"default_splits/split_name"},"@id":"default_splits","name":"default_splits","description":"Splits for the default config.","field":[{"@type":"cr:Field","@id":"default_splits/split_name","dataType":"sc:Text"}],"data":[{"default_splits/split_name":"test"}]},{"@type":"cr:RecordSet","@id":"default","description":"ErenJaegerYeager/ClawBenchPro - 'default' subset","field":[{"@type":"cr:Field","@id":"default/split","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"fileProperty":"fullpath"},"transform":{"regex":"default/(?:partial-)?(test)/.+parquet$"}},"references":{"field":{"@id":"default_splits/split_name"}}},{"@type":"cr:Field","@id":"default/dataset","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"dataset"}}},{"@type":"cr:Field","@id":"default/task_id","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"task_id"}}},{"@type":"cr:Field","@id":"default/category","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"category"}}},{"@type":"cr:Field","@id":"default/task_file","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"task_file"}}},{"@type":"cr:Field","@id":"default/asset_dir","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"asset_dir"}}},{"@type":"cr:Field","@id":"default/prompt_files","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"prompt_files"}}},{"@type":"cr:Field","@id":"default/skill_count","dataType":"cr:Int64","source":{"fileSet":{"@id":"parquet-files-for-config-default"},"extract":{"column":"skill_count"}}}]},{"@type":"cr:RecordSet","dataType":"cr:Split","key":{"@id":"persona_aligned_mix_200_splits/split_name"},"@id":"persona_aligned_mix_200_splits","name":"persona_aligned_mix_200_splits","description":"Splits for the persona_aligned_mix_200 config.","field":[{"@type":"cr:Field","@id":"persona_aligned_mix_200_splits/split_name","dataType":"sc:Text"}],"data":[{"persona_aligned_mix_200_splits/split_name":"test"}]},{"@type":"cr:RecordSet","@id":"persona_aligned_mix_200","description":"ErenJaegerYeager/ClawBenchPro - 'persona_aligned_mix_200' subset","field":[{"@type":"cr:Field","@id":"persona_aligned_mix_200/split","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"fileProperty":"fullpath"},"transform":{"regex":"persona_aligned_mix_200/(?:partial-)?(test)/.+parquet$"}},"references":{"field":{"@id":"persona_aligned_mix_200_splits/split_name"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/dataset","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"dataset"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/task_id","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"task_id"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/category","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"category"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/task_file","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"task_file"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/asset_dir","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"asset_dir"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/prompt_files","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"prompt_files"}}},{"@type":"cr:Field","@id":"persona_aligned_mix_200/skill_count","dataType":"cr:Int64","source":{"fileSet":{"@id":"parquet-files-for-config-persona_aligned_mix_200"},"extract":{"column":"skill_count"}}}]},{"@type":"cr:RecordSet","dataType":"cr:Split","key":{"@id":"round_01_aligned_mix_800_splits/split_name"},"@id":"round_01_aligned_mix_800_splits","name":"round_01_aligned_mix_800_splits","description":"Splits for the round_01_aligned_mix_800 config.","field":[{"@type":"cr:Field","@id":"round_01_aligned_mix_800_splits/split_name","dataType":"sc:Text"}],"data":[{"round_01_aligned_mix_800_splits/split_name":"test"}]},{"@type":"cr:RecordSet","@id":"round_01_aligned_mix_800","description":"ErenJaegerYeager/ClawBenchPro - 'round_01_aligned_mix_800' subset","field":[{"@type":"cr:Field","@id":"round_01_aligned_mix_800/split","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"fileProperty":"fullpath"},"transform":{"regex":"round_01_aligned_mix_800/(?:partial-)?(test)/.+parquet$"}},"references":{"field":{"@id":"round_01_aligned_mix_800_splits/split_name"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/dataset","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"dataset"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/task_id","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"task_id"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/category","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"category"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/task_file","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"task_file"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/asset_dir","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"asset_dir"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/prompt_files","dataType":"sc:Text","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"prompt_files"}}},{"@type":"cr:Field","@id":"round_01_aligned_mix_800/skill_count","dataType":"cr:Int64","source":{"fileSet":{"@id":"parquet-files-for-config-round_01_aligned_mix_800"},"extract":{"column":"skill_count"}}}]}],"conformsTo":"http://mlcommons.org/croissant/1.1","name":"ClawBenchPro","description":"\n\t\n\t\t\n\t\tClawBenchPro\n\t\n\nClawBenchPro is a compact, builder-based workplace-agent benchmark package exported from Nanoclaw.\nIt contains task YAML files, prompts, task-local environment builders, skills, evaluation manifests,\nprovenance metadata, and checksums.\n\n\t\n\t\t\n\t\tIncluded Splits\n\t\n\n\n\t\n\t\t\nDataset\nTasks\nGroups\n\n\n\t\t\nround_01_aligned_mix_800\n800\nbase, hard_aligned, multi_turn_aligned, skills_aligned\n\n\npersona_aligned_mix_200\n200\nbase, hard, multi_turn, skills\n\n\n\t\n\n\n\t\n\t\t\n\t\n\t\n\t\tDirectory Layout… See the full description on the dataset page: https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro.","alternateName":["ErenJaegerYeager/ClawBenchPro","ClawBenchPro"],"creator":{"@type":"Person","name":"Eren Jaeger","url":"https://huggingface.co/ErenJaegerYeager"},"keywords":["text-generation","question-answering","Chinese","English","mit","1K - 10K","csv","Text","Datasets","pandas","Polars","Croissant","🇺🇸 Region: US","agent-benchmark","workplace","tool-use","multi-turn","skills","nanoclaw"],"license":"https://choosealicense.com/licenses/mit/","url":"https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro"}
|
croissant/openreview_croissant.json
CHANGED
|
@@ -558,6 +558,7 @@
|
|
| 558 |
"url": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro",
|
| 559 |
"version": "1.0.0",
|
| 560 |
"datePublished": "2026-05-06",
|
|
|
|
| 561 |
"additionalProperty": [
|
| 562 |
{
|
| 563 |
"@type": "sc:PropertyValue",
|
|
|
|
| 558 |
"url": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro",
|
| 559 |
"version": "1.0.0",
|
| 560 |
"datePublished": "2026-05-06",
|
| 561 |
+
"citeAs": "ClawBenchPro: A compact, builder-based workplace-agent benchmark collection. https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro",
|
| 562 |
"additionalProperty": [
|
| 563 |
{
|
| 564 |
"@type": "sc:PropertyValue",
|
croissant/persona_aligned_mix_200_croissant.json
CHANGED
|
@@ -4,6 +4,7 @@
|
|
| 4 |
"@vocab": "https://schema.org/",
|
| 5 |
"sc": "https://schema.org/",
|
| 6 |
"cr": "http://mlcommons.org/croissant/",
|
|
|
|
| 7 |
"rai": "http://mlcommons.org/croissant/RAI/",
|
| 8 |
"prov": "http://www.w3.org/ns/prov#",
|
| 9 |
"dct": "http://purl.org/dc/terms/",
|
|
@@ -60,14 +61,16 @@
|
|
| 60 |
"@id": "huggingface_repository",
|
| 61 |
"name": "ClawBenchPro Hugging Face repository",
|
| 62 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/main/persona_aligned_mix_200",
|
| 63 |
-
"encodingFormat": "git+https"
|
|
|
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"@type": "cr:FileObject",
|
| 67 |
"@id": "dataset_index_csv",
|
| 68 |
"name": "dataset_index.csv",
|
| 69 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/resolve/main/persona_aligned_mix_200/dataset_index.csv",
|
| 70 |
-
"encodingFormat": "text/csv"
|
|
|
|
| 71 |
},
|
| 72 |
{
|
| 73 |
"@type": "cr:FileSet",
|
|
@@ -110,6 +113,7 @@
|
|
| 110 |
"encodingFormat": "text/*"
|
| 111 |
}
|
| 112 |
],
|
|
|
|
| 113 |
"recordSet": [
|
| 114 |
{
|
| 115 |
"@type": "cr:RecordSet",
|
|
|
|
| 4 |
"@vocab": "https://schema.org/",
|
| 5 |
"sc": "https://schema.org/",
|
| 6 |
"cr": "http://mlcommons.org/croissant/",
|
| 7 |
+
"citeAs": "cr:citeAs",
|
| 8 |
"rai": "http://mlcommons.org/croissant/RAI/",
|
| 9 |
"prov": "http://www.w3.org/ns/prov#",
|
| 10 |
"dct": "http://purl.org/dc/terms/",
|
|
|
|
| 61 |
"@id": "huggingface_repository",
|
| 62 |
"name": "ClawBenchPro Hugging Face repository",
|
| 63 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/main/persona_aligned_mix_200",
|
| 64 |
+
"encodingFormat": "git+https",
|
| 65 |
+
"sha256": "a9e3119485d5f9bef4aedd8676fc39f30160e15a802afb95512b3447dbdf8236"
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"@type": "cr:FileObject",
|
| 69 |
"@id": "dataset_index_csv",
|
| 70 |
"name": "dataset_index.csv",
|
| 71 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/resolve/main/persona_aligned_mix_200/dataset_index.csv",
|
| 72 |
+
"encodingFormat": "text/csv",
|
| 73 |
+
"sha256": "290ad00b0edd973e53a283bdbcdeb260f8e6bb8183b87f91c70468af897a6f1b"
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"@type": "cr:FileSet",
|
|
|
|
| 113 |
"encodingFormat": "text/*"
|
| 114 |
}
|
| 115 |
],
|
| 116 |
+
"citeAs": "ClawBenchPro: A compact, builder-based workplace-agent benchmark collection. https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/main/persona_aligned_mix_200",
|
| 117 |
"recordSet": [
|
| 118 |
{
|
| 119 |
"@type": "cr:RecordSet",
|
croissant/round_01_aligned_mix_800_croissant.json
CHANGED
|
@@ -4,6 +4,7 @@
|
|
| 4 |
"@vocab": "https://schema.org/",
|
| 5 |
"sc": "https://schema.org/",
|
| 6 |
"cr": "http://mlcommons.org/croissant/",
|
|
|
|
| 7 |
"rai": "http://mlcommons.org/croissant/RAI/",
|
| 8 |
"prov": "http://www.w3.org/ns/prov#",
|
| 9 |
"dct": "http://purl.org/dc/terms/",
|
|
@@ -60,14 +61,16 @@
|
|
| 60 |
"@id": "huggingface_repository",
|
| 61 |
"name": "ClawBenchPro Hugging Face repository",
|
| 62 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/main/round_01_aligned_mix_800",
|
| 63 |
-
"encodingFormat": "git+https"
|
|
|
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"@type": "cr:FileObject",
|
| 67 |
"@id": "dataset_index_csv",
|
| 68 |
"name": "dataset_index.csv",
|
| 69 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/resolve/main/round_01_aligned_mix_800/dataset_index.csv",
|
| 70 |
-
"encodingFormat": "text/csv"
|
|
|
|
| 71 |
},
|
| 72 |
{
|
| 73 |
"@type": "cr:FileSet",
|
|
@@ -110,6 +113,7 @@
|
|
| 110 |
"encodingFormat": "text/*"
|
| 111 |
}
|
| 112 |
],
|
|
|
|
| 113 |
"recordSet": [
|
| 114 |
{
|
| 115 |
"@type": "cr:RecordSet",
|
|
|
|
| 4 |
"@vocab": "https://schema.org/",
|
| 5 |
"sc": "https://schema.org/",
|
| 6 |
"cr": "http://mlcommons.org/croissant/",
|
| 7 |
+
"citeAs": "cr:citeAs",
|
| 8 |
"rai": "http://mlcommons.org/croissant/RAI/",
|
| 9 |
"prov": "http://www.w3.org/ns/prov#",
|
| 10 |
"dct": "http://purl.org/dc/terms/",
|
|
|
|
| 61 |
"@id": "huggingface_repository",
|
| 62 |
"name": "ClawBenchPro Hugging Face repository",
|
| 63 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/main/round_01_aligned_mix_800",
|
| 64 |
+
"encodingFormat": "git+https",
|
| 65 |
+
"sha256": "a9e3119485d5f9bef4aedd8676fc39f30160e15a802afb95512b3447dbdf8236"
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"@type": "cr:FileObject",
|
| 69 |
"@id": "dataset_index_csv",
|
| 70 |
"name": "dataset_index.csv",
|
| 71 |
"contentUrl": "https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/resolve/main/round_01_aligned_mix_800/dataset_index.csv",
|
| 72 |
+
"encodingFormat": "text/csv",
|
| 73 |
+
"sha256": "5412d7651f522aa5fc56e96451b386ad993921584b51a8d6b1033995e117461d"
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"@type": "cr:FileSet",
|
|
|
|
| 113 |
"encodingFormat": "text/*"
|
| 114 |
}
|
| 115 |
],
|
| 116 |
+
"citeAs": "ClawBenchPro: A compact, builder-based workplace-agent benchmark collection. https://huggingface.co/datasets/ErenJaegerYeager/ClawBenchPro/tree/main/round_01_aligned_mix_800",
|
| 117 |
"recordSet": [
|
| 118 |
{
|
| 119 |
"@type": "cr:RecordSet",
|
manifest.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"package_name": "ClawBenchPro",
|
| 3 |
-
"created_at": "2026-05-
|
| 4 |
"source_package": "published_datasets/nanoclaw_workplace_suite",
|
| 5 |
"format": "huggingface_dataset_repository",
|
| 6 |
"license": "MIT",
|
|
|
|
| 1 |
{
|
| 2 |
"package_name": "ClawBenchPro",
|
| 3 |
+
"created_at": "2026-05-06T09:42:37.188718+00:00",
|
| 4 |
"source_package": "published_datasets/nanoclaw_workplace_suite",
|
| 5 |
"format": "huggingface_dataset_repository",
|
| 6 |
"license": "MIT",
|