add AIBOM

deepset_roberta-base-squad2.json

@@ -0,0 +1,237 @@
+{
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:cef2615a-e860-42b2-b351-7f8a5f49e535",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2025-07-10T08:45:16.787707+00:00",
+        "component": {
+            "type": "machine-learning-model",
+            "bom-ref": "deepset/roberta-base-squad2-12395755-d71a-5489-a970-16cfa514aa95",
+            "name": "deepset/roberta-base-squad2",
+            "externalReferences": [
+                {
+                    "url": "https://huggingface.co/deepset/roberta-base-squad2",
+                    "type": "documentation"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "task": "question-answering",
+                    "architectureFamily": "roberta",
+                    "modelArchitecture": "RobertaForQuestionAnswering",
+                    "datasets": [
+                        {
+                            "ref": "squad_v2-9c72005c-340e-5f42-8f7a-ae0c57af7584"
+                        }
+                    ]
+                },
+                "properties": [
+                    {
+                        "name": "library_name",
+                        "value": "transformers"
+                    },
+                    {
+                        "name": "base_model",
+                        "value": "FacebookAI/roberta-base"
+                    }
+                ],
+                "quantitativeAnalysis": {
+                    "performanceMetrics": [
+                        {
+                            "slice": "dataset: squad_v2, split: validation, config: squad_v2",
+                            "type": "exact_match",
+                            "value": 79.9309
+                        },
+                        {
+                            "slice": "dataset: squad_v2, split: validation, config: squad_v2",
+                            "type": "f1",
+                            "value": 82.9501
+                        },
+                        {
+                            "slice": "dataset: squad_v2, split: validation, config: squad_v2",
+                            "type": "total",
+                            "value": 11869
+                        },
+                        {
+                            "slice": "dataset: squad, split: validation, config: plain_text",
+                            "type": "exact_match",
+                            "value": 85.289
+                        },
+                        {
+                            "slice": "dataset: squad, split: validation, config: plain_text",
+                            "type": "f1",
+                            "value": 91.841
+                        },
+                        {
+                            "slice": "dataset: adversarial_qa, split: validation, config: adversarialQA",
+                            "type": "exact_match",
+                            "value": 29.5
+                        },
+                        {
+                            "slice": "dataset: adversarial_qa, split: validation, config: adversarialQA",
+                            "type": "f1",
+                            "value": 40.367
+                        },
+                        {
+                            "slice": "dataset: squad_adversarial, split: validation, config: AddOneSent",
+                            "type": "exact_match",
+                            "value": 78.567
+                        },
+                        {
+                            "slice": "dataset: squad_adversarial, split: validation, config: AddOneSent",
+                            "type": "f1",
+                            "value": 84.469
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: amazon",
+                            "type": "exact_match",
+                            "value": 69.924
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: amazon",
+                            "type": "f1",
+                            "value": 83.284
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: new_wiki",
+                            "type": "exact_match",
+                            "value": 81.204
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: new_wiki",
+                            "type": "f1",
+                            "value": 90.595
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: nyt",
+                            "type": "exact_match",
+                            "value": 82.931
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: nyt",
+                            "type": "f1",
+                            "value": 90.756
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: reddit",
+                            "type": "exact_match",
+                            "value": 71.55
+                        },
+                        {
+                            "slice": "dataset: squadshifts, split: test, config: reddit",
+                            "type": "f1",
+                            "value": 82.939
+                        }
+                    ]
+                }
+            },
+            "authors": [
+                {
+                    "name": "deepset"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "id": "CC-BY-4.0",
+                        "url": "https://spdx.org/licenses/CC-BY-4.0.html"
+                    }
+                }
+            ],
+            "description": "**Language model:** roberta-base**Language:** English**Downstream-task:** Extractive QA**Training data:** SQuAD 2.0**Eval data:** SQuAD 2.0**Code:**  See [an example extractive QA pipeline built with Haystack](https://haystack.deepset.ai/tutorials/34_extractive_qa_pipeline)**Infrastructure**: 4x Tesla v100",
+            "tags": [
+                "transformers",
+                "pytorch",
+                "tf",
+                "jax",
+                "rust",
+                "safetensors",
+                "roberta",
+                "question-answering",
+                "en",
+                "dataset:squad_v2",
+                "base_model:FacebookAI/roberta-base",
+                "base_model:finetune:FacebookAI/roberta-base",
+                "license:cc-by-4.0",
+                "model-index",
+                "endpoints_compatible",
+                "region:us"
+            ]
+        }
+    },
+    "components": [
+        {
+            "type": "data",
+            "bom-ref": "squad_v2-9c72005c-340e-5f42-8f7a-ae0c57af7584",
+            "name": "squad_v2",
+            "data": [
+                {
+                    "type": "dataset",
+                    "bom-ref": "squad_v2-9c72005c-340e-5f42-8f7a-ae0c57af7584",
+                    "name": "squad_v2",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/squad_v2",
+                        "properties": [
+                            {
+                                "name": "task_categories",
+                                "value": "question-answering"
+                            },
+                            {
+                                "name": "task_ids",
+                                "value": "open-domain-qa, extractive-qa"
+                            },
+                            {
+                                "name": "language",
+                                "value": "en"
+                            },
+                            {
+                                "name": "size_categories",
+                                "value": "100K<n<1M"
+                            },
+                            {
+                                "name": "annotations_creators",
+                                "value": "crowdsourced"
+                            },
+                            {
+                                "name": "language_creators",
+                                "value": "crowdsourced"
+                            },
+                            {
+                                "name": "pretty_name",
+                                "value": "SQuAD2.0"
+                            },
+                            {
+                                "name": "source_datasets",
+                                "value": "original"
+                            },
+                            {
+                                "name": "paperswithcode_id",
+                                "value": "squad"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: squad_v2 {\"split\": \"train\", \"path\": \"squad_v2/train-*\"}, {\"split\": \"validation\", \"path\": \"squad_v2/validation-*\"}"
+                            },
+                            {
+                                "name": "license",
+                                "value": "cc-by-sa-4.0"
+                            }
+                        ]
+                    },
+                    "governance": {
+                        "owners": [
+                            {
+                                "organization": {
+                                    "name": "rajpurkar",
+                                    "url": "https://huggingface.co/rajpurkar"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "\n\t\n\t\t\n\t\tDataset Card for SQuAD 2.0\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nStanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.\nSQuAD 2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers\u2026 See the full description on the dataset page: https://huggingface.co/datasets/rajpurkar/squad_v2."
+                }
+            ]
+        }
+    ]
+}