This dataset has 3 files scanned as unsafe.
- 2.56 kB Initialisation de la base de donnée publique
- 3.24 kB Initialisation de la base de donnée publique
- 0 Bytes Initialisation de la base de donnée publique
- 3.29 MB xetInitialisation de la base de donnée publique
- database_Hackathon.pickle1.19 GB
Detected Pickle imports (45)
- "qdrant_client.http.models.models.CreateCollection",
- "transformers.activations.GELUActivation",
- "qdrant_client.local.qdrant_local.QdrantLocal",
- "qdrant_client.qdrant_client.QdrantClient",
- "torch.nn.modules.normalization.LayerNorm",
- "tokenizers.Tokenizer",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEmbeddings",
- "qdrant_client.http.models.models.Distance",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfOutput",
- "torch._utils._rebuild_tensor_v2",
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- "torch.torch_version.TorchVersion",
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- "torch.nn.modules.activation.Tanh",
- "numpy.dtype",
- "collections.OrderedDict",
- "langchain_community.vectorstores.qdrant.Qdrant",
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- "numpy.ndarray",
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- "qdrant_client.local.local_collection.LocalCollection",
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- "tokenizers.models.Model",
- "torch._C._nn.gelu",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaOutput",
- "torch._utils._rebuild_parameter",
- "langchain_community.embeddings.huggingface.HuggingFaceEmbeddings",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfAttention",
- "sentence_transformers.models.Transformer.Transformer",
- "qdrant_client.http.models.models.VectorParams",
- "torch.nn.modules.linear.Linear",
- "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
- "torch.storage._load_from_bytes",
- "sentence_transformers.model_card.SentenceTransformerModelCardData",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaAttention"
xetInitialisation de la base de donnée publique - database_Loi.pickle2.86 GB
Detected Pickle imports (44)
- "qdrant_client.http.models.models.CreateCollection",
- "transformers.activations.GELUActivation",
- "qdrant_client.local.qdrant_local.QdrantLocal",
- "qdrant_client.qdrant_client.QdrantClient",
- "torch.nn.modules.normalization.LayerNorm",
- "tokenizers.Tokenizer",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEmbeddings",
- "qdrant_client.http.models.models.Distance",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfOutput",
- "torch._utils._rebuild_tensor_v2",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaModel",
- "torch.nn.modules.container.ModuleList",
- "numpy.core.multiarray._reconstruct",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaIntermediate",
- "torch.float32",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEncoder",
- "torch.nn.modules.dropout.Dropout",
- "sentence_transformers.models.Pooling.Pooling",
- "transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast",
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- "numpy.dtype",
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- "torch.nn.modules.activation.Tanh",
- "collections.OrderedDict",
- "langchain_community.vectorstores.qdrant.Qdrant",
- "sentence_transformers.models.Normalize.Normalize",
- "numpy.ndarray",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "qdrant_client.local.local_collection.LocalCollection",
- "torch.nn.modules.sparse.Embedding",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaLayer",
- "tokenizers.models.Model",
- "torch._C._nn.gelu",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaOutput",
- "torch._utils._rebuild_parameter",
- "langchain_community.embeddings.huggingface.HuggingFaceEmbeddings",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfAttention",
- "sentence_transformers.models.Transformer.Transformer",
- "qdrant_client.http.models.models.VectorParams",
- "builtins.getattr",
- "torch.nn.modules.linear.Linear",
- "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
- "torch.storage._load_from_bytes",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaAttention"
xetInitialisation de la base de donnée publique - database_Organismes_publics.pickle1.35 GB
Detected Pickle imports (44)
- "qdrant_client.http.models.models.CreateCollection",
- "transformers.activations.GELUActivation",
- "qdrant_client.local.qdrant_local.QdrantLocal",
- "qdrant_client.qdrant_client.QdrantClient",
- "torch.nn.modules.normalization.LayerNorm",
- "tokenizers.Tokenizer",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEmbeddings",
- "qdrant_client.http.models.models.Distance",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfOutput",
- "torch._utils._rebuild_tensor_v2",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaModel",
- "torch.nn.modules.container.ModuleList",
- "numpy.core.multiarray._reconstruct",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaIntermediate",
- "torch.float32",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEncoder",
- "torch.nn.modules.dropout.Dropout",
- "sentence_transformers.models.Pooling.Pooling",
- "transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaPooler",
- "numpy.dtype",
- "tokenizers.AddedToken",
- "torch.nn.modules.activation.Tanh",
- "collections.OrderedDict",
- "langchain_community.vectorstores.qdrant.Qdrant",
- "sentence_transformers.models.Normalize.Normalize",
- "numpy.ndarray",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "qdrant_client.local.local_collection.LocalCollection",
- "torch.nn.modules.sparse.Embedding",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaLayer",
- "tokenizers.models.Model",
- "torch._C._nn.gelu",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaOutput",
- "torch._utils._rebuild_parameter",
- "langchain_community.embeddings.huggingface.HuggingFaceEmbeddings",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfAttention",
- "sentence_transformers.models.Transformer.Transformer",
- "qdrant_client.http.models.models.VectorParams",
- "builtins.getattr",
- "torch.nn.modules.linear.Linear",
- "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
- "torch.storage._load_from_bytes",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaAttention"
xetInitialisation de la base de donnée publique - database_Science.pickle1.37 GB
Detected Pickle imports (44)
- "qdrant_client.http.models.models.CreateCollection",
- "transformers.activations.GELUActivation",
- "qdrant_client.local.qdrant_local.QdrantLocal",
- "qdrant_client.qdrant_client.QdrantClient",
- "torch.nn.modules.normalization.LayerNorm",
- "tokenizers.Tokenizer",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEmbeddings",
- "qdrant_client.http.models.models.Distance",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfOutput",
- "torch._utils._rebuild_tensor_v2",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaModel",
- "torch.nn.modules.container.ModuleList",
- "numpy.core.multiarray._reconstruct",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaIntermediate",
- "torch.float32",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEncoder",
- "torch.nn.modules.dropout.Dropout",
- "sentence_transformers.models.Pooling.Pooling",
- "transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaPooler",
- "numpy.dtype",
- "tokenizers.AddedToken",
- "torch.nn.modules.activation.Tanh",
- "collections.OrderedDict",
- "langchain_community.vectorstores.qdrant.Qdrant",
- "sentence_transformers.models.Normalize.Normalize",
- "numpy.ndarray",
- "sentence_transformers.SentenceTransformer.SentenceTransformer",
- "qdrant_client.local.local_collection.LocalCollection",
- "torch.nn.modules.sparse.Embedding",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaLayer",
- "tokenizers.models.Model",
- "torch._C._nn.gelu",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaOutput",
- "torch._utils._rebuild_parameter",
- "langchain_community.embeddings.huggingface.HuggingFaceEmbeddings",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfAttention",
- "sentence_transformers.models.Transformer.Transformer",
- "qdrant_client.http.models.models.VectorParams",
- "builtins.getattr",
- "torch.nn.modules.linear.Linear",
- "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
- "torch.storage._load_from_bytes",
- "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaAttention"
xetInitialisation de la base de donnée publique