laredoyin/eu-ai-act huggingface dataset:
Annex II: List of criminal offences referred to in Article 5(1), first subparagraph, point (h)(iii)

Criminal offences referred to in Article 5(1), first subparagraph, point (h)(iii): —terrorism, —trafficking in human beings, —sexual exploitation of children, and child pornography, —illicit trafficking in narcotic drugs or psychotropic substances, —illicit trafficking in weapons, munitions or explosives, —murder, grievous bodily injury, —illicit trade in human organs or tissue, —illicit trafficking in nuclear or radioactive materials, —kidnapping, illegal restraint or hostage-taking, —crimes within the jurisdiction of the International Criminal Court, —unlawful seizure of aircraft or ships, —rape, —environmental crime, —organised or armed robbery, —sabotage, —participation in a criminal organisation involved in one or more of the offences listed above.
Annex V: EU declaration of conformity

The EU declaration of conformity referred to in Article 47, shall contain all of the following information: 1. AI system name and type and any additional unambiguous reference allowing the identification and traceability of the AI system; 2. The name and address of the provider or, where applicable, of their authorised representative; 3. A statement that the EU declaration of conformity referred to in Article 47 is issued under the sole responsibility of the provider; 4. A statement that the AI system is in conformity with this Regulation and, if applicable, with any other relevant Union law that provides for the issuing of the EU declaration of conformity referred to in Article 47; 5. Where an AI system involves the processing of personal data, a statement that that AI system complies with Regulations (EU) 2016/679 and (EU) 2018/1725 and Directive (EU) 2016/680; 6. References to any relevant harmonised standards used or any other common specification in relation to which conformity is declared; 7. Where applicable, the name and identification number of the notified body, a description of the conformity assessment procedure performed, and identification of the certificate issued; 8. The place and date of issue of the declaration, the name and function of the person who signed it, as well as an indication for, or on behalf of whom, that person signed, a signature.
Annex VI: Conformity assessment procedure based on internal control 1.

The conformity assessment procedure based on internal control is the conformity assessment procedure based on points 2, 3 and 4. 2. The provider verifies that the established quality management system is in compliance with the requirements of Article 17. 3. The provider examines the information contained in the technical documentation in order to assess the compliance of the AI system with the relevant essential requirements set out in Chapter III, Section 2. 4. The provider also verifies that the design and development process of the AI system and its post-market monitoring as referred to in Article 72 is consistent with the technical documentation.
Annex IX: Information to be submitted upon the registration of high-risk AI systems listed in Annex III in relation to testing in real world conditions in accordance with Article 60

The following information shall be provided and thereafter kept up to date with regard to testing in real world conditions to be registered in accordance with Article 60: 1. A Union-wide unique single identification number of the testing in real world conditions; 2. The name and contact details of the provider or prospective provider and of the deployers involved in the testing in real world conditions; 3. A brief description of the AI system, its intended purpose, and other information necessary for the identification of the system; 4. A summary of the main characteristics of the plan for testing in real world conditions; 5. Information on the suspension or termination of the testing in real world conditions.
Annex XI: Technical documentation referred to in Article 53(1), point (a) — technical documentation for providers of general-purpose AI models

Section 1 Information to be provided by all providers of general-purpose AI models The technical documentation referred to in Article 53(1), point (a) shall contain at least the following information as appropriate to the size and risk profile of the model: 1. A general description of the general-purpose AI model including:(a) the tasks that the model is intended to perform and the type and nature of AI systems in which it can be integrated;(b) the acceptable use policies applicable;(c) the date of release and methods of distribution;(d) the architecture and number of parameters;(e) the modality (e.g. text, image) and format of inputs and outputs;(f) the licence. 2. A detailed description of the elements of the model referred to in point 1, and relevant information of the process for the development, including the following elements:(a) the technical means (e.g. instructions of use, infrastructure, tools) required for the general-purpose AI model to be integrated in AI systems;(b) the design specifications of the model and training process, including training methodologies and techniques, the key design choices including the rationale and assumptions made; what the model is designed to optimise for and the relevance of the different parameters, as applicable;(c) information on the data used for training, testing and validation, where applicable, including the type and provenance of data and curation methodologies (e.g. cleaning, filtering, etc.), the number of data points, their scope and main characteristics; how the data was obtained and selected as well as all other measures to detect the unsuitability of data sources and methods to detect identifiable biases, where applicable;(d) the computational resources used to train the model (e.g. number of floating point operations), training time, and other relevant details related to the training;(e) known or estimated energy consumption of the model. With regard to point (e), where the energy consumption of the model is unknown, the energy consumption may be based on information about computational resources used. Section 2 Additional information to be provided by providers of general-purpose AI models with systemic risk 1. A detailed description of the evaluation strategies, including evaluation results, on the basis of available public evaluation protocols and tools or otherwise of other evaluation methodologies. Evaluation strategies shall include evaluation criteria, metrics and the methodology on the identification of limitations. 2. Where applicable, a detailed description of the measures put in place for the purpose of conducting internal and/or external adversarial testing (e.g. red teaming), model adaptations, including alignment and fine-tuning.  3. Where applicable, a detailed description of the system architecture explaining how software components build or feed into each other and integrate into the overall processing.
Annex XII: Transparency information referred to in Article 53(1), point (b) — technical documentation for providers of general-purpose AI models to downstream providers that integrate the model into their AI system

The information referred to in Article 53(1), point (b) shall contain at least the following: 1. A general description of the general-purpose AI model including:(a) the tasks that the model is intended to perform and the type and nature of AI systems into which it can be integrated;(b) the acceptable use policies applicable;(c) the date of release and methods of distribution;(d) how the model interacts, or can be used to interact, with hardware or software that is not part of the model itself, where applicable;(e) the versions of relevant software related to the use of the general-purpose AI model, where applicable;(f) the architecture and number of parameters;(g) the modality (e.g. text, image) and format of inputs and outputs;(h) the licence for the model. 2. A description of the elements of the model and of the process for its development, including:(a) the technical means (e.g. instructions for use, infrastructure, tools) required for the general-purpose AI model to be integrated into AI systems;(b) the modality (e.g. text, image, etc.) and format of the inputs and outputs and their maximum size (e.g. context window length, etc.);(c) information on the data used for training, testing and validation, where applicable, including the type and provenance of data and curation methodologies.