add AIBOM

ElKulako_cryptobert.json

@@ -0,0 +1,109 @@
+{
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:55a554e4-bbb2-4a06-b1c6-464f21f5f663",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2025-06-05T09:38:42.965593+00:00",
+        "component": {
+            "type": "machine-learning-model",
+            "bom-ref": "ElKulako/cryptobert-f162441f-1515-5203-b0e9-517acd41ec8e",
+            "name": "ElKulako/cryptobert",
+            "externalReferences": [
+                {
+                    "url": "https://huggingface.co/ElKulako/cryptobert",
+                    "type": "documentation"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "task": "text-classification",
+                    "architectureFamily": "roberta",
+                    "modelArchitecture": "RobertaForSequenceClassification",
+                    "datasets": [
+                        {
+                            "ref": "ElKulako/stocktwits-crypto-db1c54fc-b51d-5904-a572-f5f3142577b2"
+                        }
+                    ]
+                },
+                "properties": [
+                    {
+                        "name": "library_name",
+                        "value": "transformers"
+                    }
+                ]
+            },
+            "authors": [
+                {
+                    "name": "ElKulako"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "id": "MIT",
+                        "url": "https://spdx.org/licenses/MIT.html"
+                    }
+                }
+            ],
+            "tags": [
+                "transformers",
+                "pytorch",
+                "safetensors",
+                "roberta",
+                "text-classification",
+                "cryptocurrency",
+                "crypto",
+                "BERT",
+                "sentiment classification",
+                "NLP",
+                "bitcoin",
+                "ethereum",
+                "shib",
+                "social media",
+                "sentiment analysis",
+                "cryptocurrency sentiment analysis",
+                "en",
+                "dataset:ElKulako/stocktwits-crypto",
+                "license:mit",
+                "autotrain_compatible",
+                "endpoints_compatible",
+                "region:us"
+            ]
+        }
+    },
+    "components": [
+        {
+            "type": "data",
+            "bom-ref": "ElKulako/stocktwits-crypto-db1c54fc-b51d-5904-a572-f5f3142577b2",
+            "name": "ElKulako/stocktwits-crypto",
+            "data": [
+                {
+                    "type": "dataset",
+                    "bom-ref": "ElKulako/stocktwits-crypto-db1c54fc-b51d-5904-a572-f5f3142577b2",
+                    "name": "ElKulako/stocktwits-crypto",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/ElKulako/stocktwits-crypto",
+                        "properties": [
+                            {
+                                "name": "license",
+                                "value": "mit"
+                            }
+                        ]
+                    },
+                    "governance": {
+                        "owners": [
+                            {
+                                "organization": {
+                                    "name": "ElKulako",
+                                    "url": "https://huggingface.co/ElKulako"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "For academic reference, cite the following paper: https://ieeexplore.ieee.org/document/10223689\nDataset StockTwits-crypto contains all cryptocurrency-related posts from the StockTwits website, from 1st of November 2021 to the 15th of June 2022. \nThe data has been cleaned and preprocessed, we removed: \n\ncashtags, hashtags, usernames,\nURLs, crypto wallets, \nChinese, Korean and Japanese characters,\n(most) UTF-8 encoding issues\nremoved all posts shorter than 4 words\nremoved all duplicate posts\u2026 See the full description on the dataset page: https://huggingface.co/datasets/ElKulako/stocktwits-crypto."
+                }
+            ]
+        }
+    ]
+}