Upload folder using huggingface_hub
Browse files- .argilla/dataset.json +16 -0
- .argilla/settings.json +319 -0
- .argilla/version.json +3 -0
- README.md +172 -87
.argilla/dataset.json
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{
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"id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
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"name": "my-information-security-policy-distiset",
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"guidelines": "Please review the conversation and provide an evaluation.",
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"allow_extra_metadata": false,
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"status": "ready",
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"distribution": {
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"strategy": "overlap",
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"min_submitted": 1
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},
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"metadata": null,
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"workspace_id": "13427d53-ef84-4f57-9ea4-ac800624a7eb",
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"last_activity_at": "2025-02-22T03:05:11.697142",
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"inserted_at": "2025-02-22T02:54:57.502977",
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"updated_at": "2025-02-22T02:54:58.031457"
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}
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.argilla/settings.json
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| 1 |
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{
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| 2 |
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"guidelines": "Please review the conversation and provide an evaluation.",
|
| 3 |
+
"allow_extra_metadata": false,
|
| 4 |
+
"distribution": {
|
| 5 |
+
"strategy": "overlap",
|
| 6 |
+
"min_submitted": 1
|
| 7 |
+
},
|
| 8 |
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"fields": [
|
| 9 |
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{
|
| 10 |
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"id": "70949c0d-a69f-4d19-8df5-d5ac96822fa8",
|
| 11 |
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"name": "context",
|
| 12 |
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"title": "Context",
|
| 13 |
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"required": true,
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| 14 |
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"settings": {
|
| 15 |
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"type": "text",
|
| 16 |
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"use_markdown": false
|
| 17 |
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},
|
| 18 |
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"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 19 |
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"inserted_at": "2025-02-22T02:54:57.595276",
|
| 20 |
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"updated_at": "2025-02-22T02:54:57.595276"
|
| 21 |
+
},
|
| 22 |
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{
|
| 23 |
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"id": "ac18cc7d-ca3b-490f-a0d7-36b7c1f9cce6",
|
| 24 |
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"name": "chat",
|
| 25 |
+
"title": "Chat",
|
| 26 |
+
"required": true,
|
| 27 |
+
"settings": {
|
| 28 |
+
"type": "chat",
|
| 29 |
+
"use_markdown": true
|
| 30 |
+
},
|
| 31 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 32 |
+
"inserted_at": "2025-02-22T02:54:57.609825",
|
| 33 |
+
"updated_at": "2025-02-22T02:54:57.609825"
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"id": "14762611-71db-418c-b970-ca13a00afd48",
|
| 37 |
+
"name": "positive_retrieval",
|
| 38 |
+
"title": "Positive retrieval",
|
| 39 |
+
"required": true,
|
| 40 |
+
"settings": {
|
| 41 |
+
"type": "text",
|
| 42 |
+
"use_markdown": false
|
| 43 |
+
},
|
| 44 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 45 |
+
"inserted_at": "2025-02-22T02:54:57.625450",
|
| 46 |
+
"updated_at": "2025-02-22T02:54:57.625450"
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"id": "585a9e4e-62ff-4aa9-a943-fa32a5e91507",
|
| 50 |
+
"name": "positive_reranking",
|
| 51 |
+
"title": "Positive reranking",
|
| 52 |
+
"required": true,
|
| 53 |
+
"settings": {
|
| 54 |
+
"type": "text",
|
| 55 |
+
"use_markdown": false
|
| 56 |
+
},
|
| 57 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 58 |
+
"inserted_at": "2025-02-22T02:54:57.794934",
|
| 59 |
+
"updated_at": "2025-02-22T02:54:57.794934"
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"id": "9fc8b8f0-282e-4512-bd90-96e3cc75f5b8",
|
| 63 |
+
"name": "negative_retrieval",
|
| 64 |
+
"title": "Negative retrieval",
|
| 65 |
+
"required": true,
|
| 66 |
+
"settings": {
|
| 67 |
+
"type": "text",
|
| 68 |
+
"use_markdown": false
|
| 69 |
+
},
|
| 70 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 71 |
+
"inserted_at": "2025-02-22T02:54:57.810111",
|
| 72 |
+
"updated_at": "2025-02-22T02:54:57.810111"
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"id": "4017d993-fda8-4e1e-8eb9-acaeb91f3035",
|
| 76 |
+
"name": "negative_reranking",
|
| 77 |
+
"title": "Negative reranking",
|
| 78 |
+
"required": true,
|
| 79 |
+
"settings": {
|
| 80 |
+
"type": "text",
|
| 81 |
+
"use_markdown": false
|
| 82 |
+
},
|
| 83 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 84 |
+
"inserted_at": "2025-02-22T02:54:57.826333",
|
| 85 |
+
"updated_at": "2025-02-22T02:54:57.826333"
|
| 86 |
+
}
|
| 87 |
+
],
|
| 88 |
+
"questions": [
|
| 89 |
+
{
|
| 90 |
+
"id": "b939f916-6d90-4ded-a640-a45187cbd7d4",
|
| 91 |
+
"name": "relevant",
|
| 92 |
+
"title": "Are the question and response relevant to the given context?",
|
| 93 |
+
"description": null,
|
| 94 |
+
"required": true,
|
| 95 |
+
"settings": {
|
| 96 |
+
"type": "label_selection",
|
| 97 |
+
"options": [
|
| 98 |
+
{
|
| 99 |
+
"value": "yes",
|
| 100 |
+
"text": "yes",
|
| 101 |
+
"description": null
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"value": "no",
|
| 105 |
+
"text": "no",
|
| 106 |
+
"description": null
|
| 107 |
+
}
|
| 108 |
+
],
|
| 109 |
+
"visible_options": null
|
| 110 |
+
},
|
| 111 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 112 |
+
"inserted_at": "2025-02-22T02:54:57.855222",
|
| 113 |
+
"updated_at": "2025-02-22T02:54:57.855222"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"id": "5e3a46d9-50d0-458c-88f4-2954a270d831",
|
| 117 |
+
"name": "is_response_correct",
|
| 118 |
+
"title": "Is the response correct?",
|
| 119 |
+
"description": null,
|
| 120 |
+
"required": true,
|
| 121 |
+
"settings": {
|
| 122 |
+
"type": "label_selection",
|
| 123 |
+
"options": [
|
| 124 |
+
{
|
| 125 |
+
"value": "yes",
|
| 126 |
+
"text": "yes",
|
| 127 |
+
"description": null
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"value": "no",
|
| 131 |
+
"text": "no",
|
| 132 |
+
"description": null
|
| 133 |
+
}
|
| 134 |
+
],
|
| 135 |
+
"visible_options": null
|
| 136 |
+
},
|
| 137 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 138 |
+
"inserted_at": "2025-02-22T02:54:57.872306",
|
| 139 |
+
"updated_at": "2025-02-22T02:54:57.872306"
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"id": "88513b1b-dac7-4cc3-8e5d-beb3450ef5d4",
|
| 143 |
+
"name": "is_positive_retrieval_relevant",
|
| 144 |
+
"title": "Is the positive retrieval relevant?",
|
| 145 |
+
"description": null,
|
| 146 |
+
"required": false,
|
| 147 |
+
"settings": {
|
| 148 |
+
"type": "label_selection",
|
| 149 |
+
"options": [
|
| 150 |
+
{
|
| 151 |
+
"value": "yes",
|
| 152 |
+
"text": "yes",
|
| 153 |
+
"description": null
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"value": "no",
|
| 157 |
+
"text": "no",
|
| 158 |
+
"description": null
|
| 159 |
+
}
|
| 160 |
+
],
|
| 161 |
+
"visible_options": null
|
| 162 |
+
},
|
| 163 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 164 |
+
"inserted_at": "2025-02-22T02:54:57.886567",
|
| 165 |
+
"updated_at": "2025-02-22T02:54:57.886567"
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"id": "3faac67a-d598-4238-b7b6-81260ed14818",
|
| 169 |
+
"name": "is_positive_reranking_relevant",
|
| 170 |
+
"title": "Is the positive reranking relevant?",
|
| 171 |
+
"description": null,
|
| 172 |
+
"required": false,
|
| 173 |
+
"settings": {
|
| 174 |
+
"type": "label_selection",
|
| 175 |
+
"options": [
|
| 176 |
+
{
|
| 177 |
+
"value": "yes",
|
| 178 |
+
"text": "yes",
|
| 179 |
+
"description": null
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"value": "no",
|
| 183 |
+
"text": "no",
|
| 184 |
+
"description": null
|
| 185 |
+
}
|
| 186 |
+
],
|
| 187 |
+
"visible_options": null
|
| 188 |
+
},
|
| 189 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 190 |
+
"inserted_at": "2025-02-22T02:54:57.902345",
|
| 191 |
+
"updated_at": "2025-02-22T02:54:57.902345"
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"id": "c694532e-bb81-4be8-87bf-d8cd44b9a6fd",
|
| 195 |
+
"name": "is_negative_retrieval_relevant",
|
| 196 |
+
"title": "Is the negative retrieval relevant?",
|
| 197 |
+
"description": null,
|
| 198 |
+
"required": false,
|
| 199 |
+
"settings": {
|
| 200 |
+
"type": "label_selection",
|
| 201 |
+
"options": [
|
| 202 |
+
{
|
| 203 |
+
"value": "yes",
|
| 204 |
+
"text": "yes",
|
| 205 |
+
"description": null
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"value": "no",
|
| 209 |
+
"text": "no",
|
| 210 |
+
"description": null
|
| 211 |
+
}
|
| 212 |
+
],
|
| 213 |
+
"visible_options": null
|
| 214 |
+
},
|
| 215 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 216 |
+
"inserted_at": "2025-02-22T02:54:57.916426",
|
| 217 |
+
"updated_at": "2025-02-22T02:54:57.916426"
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"id": "7d8a2d21-4e57-4b9e-b5d1-536e07596022",
|
| 221 |
+
"name": "is_negative_reranking_relevant",
|
| 222 |
+
"title": "Is the negative reranking relevant?",
|
| 223 |
+
"description": null,
|
| 224 |
+
"required": false,
|
| 225 |
+
"settings": {
|
| 226 |
+
"type": "label_selection",
|
| 227 |
+
"options": [
|
| 228 |
+
{
|
| 229 |
+
"value": "yes",
|
| 230 |
+
"text": "yes",
|
| 231 |
+
"description": null
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"value": "no",
|
| 235 |
+
"text": "no",
|
| 236 |
+
"description": null
|
| 237 |
+
}
|
| 238 |
+
],
|
| 239 |
+
"visible_options": null
|
| 240 |
+
},
|
| 241 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 242 |
+
"inserted_at": "2025-02-22T02:54:57.930119",
|
| 243 |
+
"updated_at": "2025-02-22T02:54:57.930119"
|
| 244 |
+
}
|
| 245 |
+
],
|
| 246 |
+
"metadata": [
|
| 247 |
+
{
|
| 248 |
+
"id": "c1b82b5b-2174-4dbb-8bec-f32cc07a3f5d",
|
| 249 |
+
"name": "context_length",
|
| 250 |
+
"title": "Context length",
|
| 251 |
+
"settings": {
|
| 252 |
+
"type": "integer",
|
| 253 |
+
"min": null,
|
| 254 |
+
"max": null
|
| 255 |
+
},
|
| 256 |
+
"visible_for_annotators": true,
|
| 257 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 258 |
+
"inserted_at": "2025-02-22T02:54:57.988296",
|
| 259 |
+
"updated_at": "2025-02-22T02:54:57.988296"
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"id": "9b048fd5-0a24-43fc-8004-0c023dfdc10e",
|
| 263 |
+
"name": "question_length",
|
| 264 |
+
"title": "Question length",
|
| 265 |
+
"settings": {
|
| 266 |
+
"type": "integer",
|
| 267 |
+
"min": null,
|
| 268 |
+
"max": null
|
| 269 |
+
},
|
| 270 |
+
"visible_for_annotators": true,
|
| 271 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 272 |
+
"inserted_at": "2025-02-22T02:54:58.000555",
|
| 273 |
+
"updated_at": "2025-02-22T02:54:58.000555"
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"id": "b35b0681-c660-4b08-a267-9fca5c63410f",
|
| 277 |
+
"name": "response_length",
|
| 278 |
+
"title": "Response length",
|
| 279 |
+
"settings": {
|
| 280 |
+
"type": "integer",
|
| 281 |
+
"min": null,
|
| 282 |
+
"max": null
|
| 283 |
+
},
|
| 284 |
+
"visible_for_annotators": true,
|
| 285 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 286 |
+
"inserted_at": "2025-02-22T02:54:58.011576",
|
| 287 |
+
"updated_at": "2025-02-22T02:54:58.011576"
|
| 288 |
+
}
|
| 289 |
+
],
|
| 290 |
+
"vectors": [
|
| 291 |
+
{
|
| 292 |
+
"id": "0764639a-0846-4919-8893-dff9afdcd40f",
|
| 293 |
+
"name": "context_embeddings",
|
| 294 |
+
"title": "context_embeddings",
|
| 295 |
+
"dimensions": 256,
|
| 296 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 297 |
+
"inserted_at": "2025-02-22T02:54:57.947200",
|
| 298 |
+
"updated_at": "2025-02-22T02:54:57.947200"
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"id": "b10f1ef9-97d3-4cb1-b2ac-08e54da8f050",
|
| 302 |
+
"name": "question_embeddings",
|
| 303 |
+
"title": "question_embeddings",
|
| 304 |
+
"dimensions": 256,
|
| 305 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 306 |
+
"inserted_at": "2025-02-22T02:54:57.961650",
|
| 307 |
+
"updated_at": "2025-02-22T02:54:57.961650"
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"id": "07b7fc97-924e-467b-b826-2b92350edab9",
|
| 311 |
+
"name": "response_embeddings",
|
| 312 |
+
"title": "response_embeddings",
|
| 313 |
+
"dimensions": 256,
|
| 314 |
+
"dataset_id": "671aa5a0-ed35-42b6-a23d-92b423c3e299",
|
| 315 |
+
"inserted_at": "2025-02-22T02:54:57.974564",
|
| 316 |
+
"updated_at": "2025-02-22T02:54:57.974564"
|
| 317 |
+
}
|
| 318 |
+
]
|
| 319 |
+
}
|
.argilla/version.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"argilla": "2.7.1"
|
| 3 |
+
}
|
README.md
CHANGED
|
@@ -1,89 +1,174 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
- name: status
|
| 7 |
-
dtype: string
|
| 8 |
-
- name: inserted_at
|
| 9 |
-
dtype: timestamp[us]
|
| 10 |
-
- name: updated_at
|
| 11 |
-
dtype: timestamp[us]
|
| 12 |
-
- name: _server_id
|
| 13 |
-
dtype: string
|
| 14 |
-
- name: context
|
| 15 |
-
dtype: string
|
| 16 |
-
- name: chat
|
| 17 |
-
list:
|
| 18 |
-
- name: content
|
| 19 |
-
dtype: string
|
| 20 |
-
- name: role
|
| 21 |
-
dtype: string
|
| 22 |
-
- name: positive_retrieval
|
| 23 |
-
dtype: string
|
| 24 |
-
- name: positive_reranking
|
| 25 |
-
dtype: string
|
| 26 |
-
- name: negative_retrieval
|
| 27 |
-
dtype: string
|
| 28 |
-
- name: negative_reranking
|
| 29 |
-
dtype: string
|
| 30 |
-
- name: relevant.responses
|
| 31 |
-
sequence: string
|
| 32 |
-
- name: relevant.responses.users
|
| 33 |
-
sequence: string
|
| 34 |
-
- name: relevant.responses.status
|
| 35 |
-
sequence: string
|
| 36 |
-
- name: is_response_correct.responses
|
| 37 |
-
sequence: string
|
| 38 |
-
- name: is_response_correct.responses.users
|
| 39 |
-
sequence: string
|
| 40 |
-
- name: is_response_correct.responses.status
|
| 41 |
-
sequence: string
|
| 42 |
-
- name: is_positive_retrieval_relevant.responses
|
| 43 |
-
sequence: string
|
| 44 |
-
- name: is_positive_retrieval_relevant.responses.users
|
| 45 |
-
sequence: string
|
| 46 |
-
- name: is_positive_retrieval_relevant.responses.status
|
| 47 |
-
sequence: string
|
| 48 |
-
- name: is_positive_reranking_relevant.responses
|
| 49 |
-
sequence: string
|
| 50 |
-
- name: is_positive_reranking_relevant.responses.users
|
| 51 |
-
sequence: string
|
| 52 |
-
- name: is_positive_reranking_relevant.responses.status
|
| 53 |
-
sequence: string
|
| 54 |
-
- name: is_negative_retrieval_relevant.responses
|
| 55 |
-
sequence: string
|
| 56 |
-
- name: is_negative_retrieval_relevant.responses.users
|
| 57 |
-
sequence: string
|
| 58 |
-
- name: is_negative_retrieval_relevant.responses.status
|
| 59 |
-
sequence: string
|
| 60 |
-
- name: is_negative_reranking_relevant.responses
|
| 61 |
-
sequence: string
|
| 62 |
-
- name: is_negative_reranking_relevant.responses.users
|
| 63 |
-
sequence: string
|
| 64 |
-
- name: is_negative_reranking_relevant.responses.status
|
| 65 |
-
sequence: string
|
| 66 |
-
- name: metadata.context_length
|
| 67 |
-
dtype: int64
|
| 68 |
-
- name: metadata.question_length
|
| 69 |
-
dtype: int64
|
| 70 |
-
- name: metadata.response_length
|
| 71 |
-
dtype: int64
|
| 72 |
-
- name: vector.context_embeddings
|
| 73 |
-
sequence: float64
|
| 74 |
-
- name: vector.question_embeddings
|
| 75 |
-
sequence: float64
|
| 76 |
-
- name: vector.response_embeddings
|
| 77 |
-
sequence: float64
|
| 78 |
-
splits:
|
| 79 |
-
- name: train
|
| 80 |
-
num_bytes: 83180
|
| 81 |
-
num_examples: 10
|
| 82 |
-
download_size: 98826
|
| 83 |
-
dataset_size: 83180
|
| 84 |
-
configs:
|
| 85 |
-
- config_name: default
|
| 86 |
-
data_files:
|
| 87 |
-
- split: train
|
| 88 |
-
path: data/train-*
|
| 89 |
---
|
|
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|
|
|
| 1 |
---
|
| 2 |
+
tags:
|
| 3 |
+
- rlfh
|
| 4 |
+
- argilla
|
| 5 |
+
- human-feedback
|
|
|
|
|
|
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|
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|
|
|
|
|
|
| 6 |
---
|
| 7 |
+
|
| 8 |
+
# Dataset Card for my-information-security-policy-distiset-curated
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Using this dataset with Argilla
|
| 20 |
+
|
| 21 |
+
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import argilla as rg
|
| 25 |
+
|
| 26 |
+
ds = rg.Dataset.from_hub("daqc/my-information-security-policy-distiset-curated", settings="auto")
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
|
| 30 |
+
|
| 31 |
+
## Using this dataset with `datasets`
|
| 32 |
+
|
| 33 |
+
To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
|
| 34 |
+
|
| 35 |
+
```python
|
| 36 |
+
from datasets import load_dataset
|
| 37 |
+
|
| 38 |
+
ds = load_dataset("daqc/my-information-security-policy-distiset-curated")
|
| 39 |
+
```
|
| 40 |
+
|
| 41 |
+
This will only load the records of the dataset, but not the Argilla settings.
|
| 42 |
+
|
| 43 |
+
## Dataset Structure
|
| 44 |
+
|
| 45 |
+
This dataset repo contains:
|
| 46 |
+
|
| 47 |
+
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
|
| 48 |
+
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
|
| 49 |
+
* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
|
| 50 |
+
|
| 51 |
+
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
|
| 52 |
+
|
| 53 |
+
### Fields
|
| 54 |
+
|
| 55 |
+
The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
|
| 56 |
+
|
| 57 |
+
| Field Name | Title | Type | Required |
|
| 58 |
+
| ---------- | ----- | ---- | -------- |
|
| 59 |
+
| context | Context | text | True |
|
| 60 |
+
| chat | Chat | chat | True |
|
| 61 |
+
| positive_retrieval | Positive retrieval | text | True |
|
| 62 |
+
| positive_reranking | Positive reranking | text | True |
|
| 63 |
+
| negative_retrieval | Negative retrieval | text | True |
|
| 64 |
+
| negative_reranking | Negative reranking | text | True |
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
### Questions
|
| 68 |
+
|
| 69 |
+
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
|
| 70 |
+
|
| 71 |
+
| Question Name | Title | Type | Required | Description | Values/Labels |
|
| 72 |
+
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
|
| 73 |
+
| relevant | Are the question and response relevant to the given context? | label_selection | True | N/A | ['yes', 'no'] |
|
| 74 |
+
| is_response_correct | Is the response correct? | label_selection | True | N/A | ['yes', 'no'] |
|
| 75 |
+
| is_positive_retrieval_relevant | Is the positive retrieval relevant? | label_selection | False | N/A | ['yes', 'no'] |
|
| 76 |
+
| is_positive_reranking_relevant | Is the positive reranking relevant? | label_selection | False | N/A | ['yes', 'no'] |
|
| 77 |
+
| is_negative_retrieval_relevant | Is the negative retrieval relevant? | label_selection | False | N/A | ['yes', 'no'] |
|
| 78 |
+
| is_negative_reranking_relevant | Is the negative reranking relevant? | label_selection | False | N/A | ['yes', 'no'] |
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
<!-- check length of metadata properties -->
|
| 82 |
+
|
| 83 |
+
### Metadata
|
| 84 |
+
|
| 85 |
+
The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
|
| 86 |
+
| Metadata Name | Title | Type | Values | Visible for Annotators |
|
| 87 |
+
| ------------- | ----- | ---- | ------ | ---------------------- |
|
| 88 |
+
| context_length | Context length | integer | - | True |
|
| 89 |
+
| question_length | Question length | integer | - | True |
|
| 90 |
+
| response_length | Response length | integer | - | True |
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
### Vectors
|
| 96 |
+
The **vectors** contain a vector representation of the record that can be used in search.
|
| 97 |
+
|
| 98 |
+
| Vector Name | Title | Dimensions |
|
| 99 |
+
|-------------|-------|------------|
|
| 100 |
+
| context_embeddings | context_embeddings | [1, 256] |
|
| 101 |
+
| question_embeddings | question_embeddings | [1, 256] |
|
| 102 |
+
| response_embeddings | response_embeddings | [1, 256] |
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
|
| 106 |
+
### Data Splits
|
| 107 |
+
|
| 108 |
+
The dataset contains a single split, which is `train`.
|
| 109 |
+
|
| 110 |
+
## Dataset Creation
|
| 111 |
+
|
| 112 |
+
### Curation Rationale
|
| 113 |
+
|
| 114 |
+
[More Information Needed]
|
| 115 |
+
|
| 116 |
+
### Source Data
|
| 117 |
+
|
| 118 |
+
#### Initial Data Collection and Normalization
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Who are the source language producers?
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Annotations
|
| 127 |
+
|
| 128 |
+
#### Annotation guidelines
|
| 129 |
+
|
| 130 |
+
Please review the conversation and provide an evaluation.
|
| 131 |
+
|
| 132 |
+
#### Annotation process
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Who are the annotators?
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
### Personal and Sensitive Information
|
| 141 |
+
|
| 142 |
+
[More Information Needed]
|
| 143 |
+
|
| 144 |
+
## Considerations for Using the Data
|
| 145 |
+
|
| 146 |
+
### Social Impact of Dataset
|
| 147 |
+
|
| 148 |
+
[More Information Needed]
|
| 149 |
+
|
| 150 |
+
### Discussion of Biases
|
| 151 |
+
|
| 152 |
+
[More Information Needed]
|
| 153 |
+
|
| 154 |
+
### Other Known Limitations
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Additional Information
|
| 159 |
+
|
| 160 |
+
### Dataset Curators
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Licensing Information
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
### Citation Information
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
### Contributions
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|