| | --- |
| | language: |
| | - en |
| | dataset_info: |
| | - config_name: SIQA |
| | features: |
| | - name: context |
| | dtype: string |
| | - name: question |
| | dtype: string |
| | - name: answerA |
| | dtype: string |
| | - name: answerB |
| | dtype: string |
| | - name: answerC |
| | dtype: string |
| | - name: label |
| | dtype: string |
| | splits: |
| | - name: validation |
| | num_bytes: 372815 |
| | num_examples: 1954 |
| | download_size: 203211 |
| | dataset_size: 372815 |
| | - config_name: bigbenchhard_reasoning_about_colored_objects |
| | features: |
| | - name: input |
| | dtype: string |
| | - name: target |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 89579 |
| | num_examples: 250 |
| | download_size: 19694 |
| | dataset_size: 89579 |
| | - config_name: default |
| | features: |
| | - name: id |
| | dtype: int64 |
| | - name: date |
| | dtype: string |
| | - name: airline |
| | dtype: string |
| | - name: flight_number |
| | dtype: string |
| | - name: origin |
| | dtype: string |
| | - name: destination |
| | dtype: string |
| | - name: departure_time |
| | dtype: string |
| | - name: arrival_time |
| | dtype: string |
| | - name: available_seats |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 2492373 |
| | num_examples: 29989 |
| | download_size: 445935 |
| | dataset_size: 2492373 |
| | - config_name: flights |
| | features: |
| | - name: id |
| | dtype: int64 |
| | - name: date |
| | dtype: string |
| | - name: airline |
| | dtype: string |
| | - name: flight_number |
| | dtype: string |
| | - name: origin |
| | dtype: string |
| | - name: destination |
| | dtype: string |
| | - name: departure_time |
| | dtype: string |
| | - name: arrival_time |
| | dtype: string |
| | - name: available_seats |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 2627051 |
| | num_examples: 31601 |
| | download_size: 467144 |
| | dataset_size: 2627051 |
| | - config_name: gsm8k |
| | features: |
| | - name: question |
| | dtype: string |
| | - name: answer |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 1830497 |
| | num_examples: 7473 |
| | download_size: 1061341 |
| | dataset_size: 1830497 |
| | - config_name: humaneval |
| | features: |
| | - name: name |
| | dtype: string |
| | - name: prompt |
| | dtype: string |
| | - name: tests |
| | dtype: string |
| | splits: |
| | - name: test |
| | num_bytes: 148763 |
| | num_examples: 161 |
| | download_size: 61463 |
| | dataset_size: 148763 |
| | - config_name: math_word_problems |
| | features: |
| | - name: question |
| | dtype: string |
| | - name: answer |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 12217 |
| | num_examples: 50 |
| | - name: test |
| | num_bytes: 11738 |
| | num_examples: 50 |
| | download_size: 19876 |
| | dataset_size: 23955 |
| | - config_name: mbpp-rkt-correct-executions |
| | features: |
| | - name: task_id |
| | dtype: int64 |
| | - name: code |
| | dtype: string |
| | - name: test_cases |
| | sequence: |
| | - name: input |
| | dtype: string |
| | - name: output |
| | dtype: string |
| | - name: lang |
| | dtype: string |
| | - name: timeout_s |
| | dtype: float64 |
| | - name: result |
| | dtype: string |
| | - name: stdout |
| | dtype: string |
| | - name: stderr |
| | dtype: string |
| | - name: exit_code |
| | dtype: int64 |
| | - name: description |
| | dtype: string |
| | - name: input_format |
| | dtype: string |
| | - name: output_format |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2081903.6357827475 |
| | num_examples: 2646 |
| | download_size: 455315 |
| | dataset_size: 2081903.6357827475 |
| | - config_name: obscure_questions |
| | features: |
| | - name: url |
| | dtype: string |
| | - name: article_id |
| | dtype: string |
| | - name: prompt |
| | dtype: string |
| | - name: choices |
| | sequence: string |
| | - name: correct_answer |
| | dtype: string |
| | - name: id |
| | dtype: int64 |
| | splits: |
| | - name: test |
| | num_bytes: 239950 |
| | num_examples: 931 |
| | - name: tiny |
| | num_bytes: 11224 |
| | num_examples: 50 |
| | download_size: 149886 |
| | dataset_size: 251174 |
| | - config_name: wikipedia-northeastern-university |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: url |
| | dtype: string |
| | - name: title |
| | dtype: string |
| | - name: text |
| | dtype: string |
| | splits: |
| | - name: test |
| | num_bytes: 7640857.145607997 |
| | num_examples: 2434 |
| | download_size: 12949685 |
| | dataset_size: 7640857.145607997 |
| | configs: |
| | - config_name: SIQA |
| | data_files: |
| | - split: validation |
| | path: SIQA/validation-* |
| | - config_name: bigbenchhard_reasoning_about_colored_objects |
| | data_files: |
| | - split: train |
| | path: bigbenchhard_reasoning_about_colored_objects/train-* |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - config_name: flights |
| | data_files: |
| | - split: train |
| | path: flights/train-* |
| | - config_name: gsm8k |
| | data_files: |
| | - split: train |
| | path: gsm8k/train-* |
| | - config_name: humaneval |
| | data_files: |
| | - split: test |
| | path: humaneval/test-* |
| | - config_name: math_word_problems |
| | data_files: |
| | - split: train |
| | path: math_word_problems/train-* |
| | - split: test |
| | path: math_word_problems/test-* |
| | - config_name: mbpp-rkt-correct-executions |
| | data_files: |
| | - split: train |
| | path: mbpp-rkt-correct-executions/train-* |
| | - config_name: obscure_questions |
| | data_files: |
| | - split: test |
| | path: obscure_questions/test-* |
| | - split: tiny |
| | path: obscure_questions/tiny-* |
| | - config_name: wikipedia-northeastern-university |
| | data_files: |
| | - split: test |
| | path: wikipedia-northeastern-university/test-* |
| | --- |
| | |
| | # Engineering LLM-Integrated Systems |
| |
|
| | *Engineering LLM-Integrated Systems* is course at Northeastern University that teaches students how to |
| | build software that uses LLMs under the hood from a systems perspective. The course teaches students |
| | how to build interactive software systems that testable, scaleable, and well-designed, despite the |
| | fact that they are working with an essential component -- the LLM -- that can behave in unpredictable ways. |
| |
|
| | This repository contains the datasets that the course uses for homework assignments. |
| |
|
| | Credits (WIP): |
| |
|
| | - `bigbenchhard_reasoning_about_colored_objects`: copied from https://huggingface.co/datasets/maveriq/bigbenchhard because |
| | that repository has datasets scripts that are no longer supported by Datasets v4. Originally from the paper https://arxiv.org/abs/2210.09261. |