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Raw

Data in HALIE

Our documentation is still under construction. Please reach out to Mina Lee at [email protected] if you have any question or suggestion for improvement.

Raw data

Raw data contains the raw interaction traces collected for each task, including all logged interaction traces (logs.zip) as well as survey questions and responses.

Visualizations

To facilitate easier viewing of the raw interaction data, we provide both static and dynamic replay visualizations, which are directly viewable in any browser after downlading this repository. Both static and replay visualzations are available for the Crossword puzzles task, and static visualizations are available for the Question answering task.

To make it easier to browse through these interactive visualizations, we have created the following web applications:

For any questions about the data visualizations for the Question answering or Crossword puzzle tasks, feel free to reach out to Megha Srivastava at [email protected]!

Standardized data

To faciliate the analysis of events between humans and LMs across hundreds of interaction sessions, we standardize the data for each task to based on the raw data we collected. Each task has event_blocks.csv and survey_responses.csv as well as a few extra files depending on the task.

Event blocks. The event_blocks.csv file contains the event blocks (i.e., a sequence of events of our interest) that occurred during interaction. The definition of an event block varies by task. Here is how we defined event blocks for each task:

  • Social dialogue: each turn is an event block (user writes one message)
  • Question answering: each question and answer pair is an event block (user answers a question by querying a system zero or more times)
  • Crossword puzzles: each query to the system is an event block (user queries a system once to brainstorm about a clue)
  • Text summarization: each original document, machine-generated summary, and edited summary pair is an event block (user edits a machine-generated summary of a document)
  • Metaphor generation: each metaphorical sentence is an event block (user writes a metaphorical sentence by querying a system zero or more times)

Our standardized data also includes some relevant statistics, such as the number of queries, the elapsed time, etc. for each event block.

For implementation details, please refer to the *_block.py files in ./src/blocks for each task.

Survey responses. the survey_responses.csv file contains the survey responses collected after the task.

Format

Dialogue (./assets/std/dialogue/event_blocks.csv)

Each turn in a dialogue corresponds to a row.

session_id worker_id turn_id model prompt elapsed_time user_input model_completion interesting boring preference humanness sensibility specificity commonsense empathy quality_overall
24d... 650... 1 InstructBabbage Robin and Tracy went to school together. Robin helped Tracy study. 1.2 I'm so grateful Robin helped me study! I'm not very good at math and this test was extremely important. That's amazing! What did you learn from him? 0 0 1 1 1 1 1 -1 4
24d... 650... 2 InstructBabbage Robin and Tracy went to school together. Robin helped Tracy study. 1.65 I learned some mnemonic devices that helped me remember the proper order of doing things. I also learned how to double check my work. That sounds like such an important skill to have. 0 0 1 1 1 0 0 -1 4

Interactive question answering (./assets/std/question/event_blocks.csv)

Each question in a quiz corresponds to a row.

session_id worker_id order_id model prompt sequence_id question_id question_type question_category question_text choice_a choice_b choice_c choice_d answer answer_text lm_used user_queries lm_responses user_answer user_correct elapsed_time num_queries num_events
000... A2E... 0 InstructDavinci na 19 5 ctrl misc In the phrase 'Y2K' what does 'K' stand for? millennium computer code catastrophe thousand d thousand 0 d 1 0.15 0 3
000... A2E... 1 InstructDavinci na 19 14 ctrl us_fp "Within the United Nations, real power is located in" the Security Council. the Chamber of Deputies. the Council of Ministers. the Secretariat. a the Security Council. 0 a 1 0.03 0 2

Crossword puzzle (./assets/std/crossword)

Fields in event_blocks.csv

Each user query and system response in a crossword puzzle session corresponds to a row.

session_id worker_id order_id model prompt prompt_dataset clue_num clue_direction clue_type user_query query_type completion
61_6... 657... 0 InstructDavinci 61 NYT-1 1 across knowledge modern persia ['exact', 'keyword'] The modern Persian language...
61_6... 657... 1 InstructDavinci 61 NYT-1 1 down N/A not give an ['keyword'] inch" This phrase...

Fields in survey_responses.csv

  • fluency: user's survey response to the question "How clear (or fluent) were the responses from the AI Teammate?" on 5-point Likert scale
  • helpfulness: user's survey response to the question "Independent of its fluency, how helpful was your AI Teammate for solving the crossword puzzle?" on 5-point Likert scale
  • ease: user's survey response to the question "How easy was it to interact with the AI Teammate?" on 5-point Likert scale
  • joy: user's survey response to the question "How enjoyable was it to interact with the AI Teammate?" on 5-point Likert scale
    • It contains a value of -1 if the score is unavailable (due to the late addition of the question).
session_id worker_id model prompt prompt_dataset fluency helpfulness ease joy
151_5... 57c... Jumbo 151 ELECT 3 2 3 1
151_0... 01f... InstructBabbage 151 ELECT 3 1 5 2

Text summarization (./assets/std/summarization/event_blocks.csv)

Fields in event_blocks.csv Each document's summary in a writing session corresponds to a row.

  • elapsed_time: time for editing a system-generated summary
  • document: document for which a user is asked to evaluate and edit a summary
  • original_summary: a system-generated summary
  • original_{consistency, relevance, coherency}: user's evaluation on the system-generated summary
  • edited_summary: a system-generated summary edited by the user
  • edited_{consistency, relevance, coherency}: user's evaluation on the edited summary
  • distance: edit distance between original_summary and edited_summary
  • original_{consistency, relevance, coherency}_third_party}: third-party evaluation on the system-generated summary (available for a subset of summaries)
  • edited_{consistency, relevance, coherency}_third_party: third-party evaluation on the system-generated summary (available for a subset of summaries)
session_id worker_id order_id model prompt elapsed_time document original_summary original_consistency original_relevance original_coherency edited_summary edited_consistency edited_relevance edited_coherency distance original_consistency_third_party original_relevance_third_party edited_consistency_third_party edited_relevance_third_party edited_coherency_third_party
6c4... A2F... 0 Jumbo 11 0.01 The annual event... A wakeboarding festival in Gwynedd has been cancelled. TRUE TRUE TRUE A wakeboarding festival in Gwynedd has been cancelled. TRUE TRUE TRUE 0
6c4... A2F... 1 Jumbo 11 0.78 About 120 cannabis... Two men have been arrested after police discovered cannabis plants in Coleraine. TRUE TRUE FALSE Police discovered 120 cannabis plants in Coleraine worth an estimated £60,000 after two men have been arrested. TRUE TRUE TRUE 17

Fields in survey_responses.csv

  • improvement: user's survey response to the question "The AI assistant improved as I edited more summaries. (1: strongly disagree / 5: strongly agree)" on 5-point Likert scale
  • edit: user's survey response to the question "How much did you have to edit the generated summaries? (1: nothing at all / 5: almost every word)" on 5-point Likert scale
  • helpfulness: user's survey response to the question "How helpful was having access to the AI assistant as an automated summarization tool? (1: not helpful at all / 5: extremely helpful)" on 5-point Likert scale
session_id worker_id model prompt prompt_dataset fluency helpfulness ease joy
151_5... 57c... Jumbo 151 ELECT 3 2 3 1
151_0... 01f... InstructBabbage 151 ELECT 3 1 5 2

Metaphor generation (./assets/std/metaphor/event_blocks.csv)

Each metaphorical sentence in a writing session corresponds to a row.

session_id worker_id order_id norm_order_id model prompt elapsed_time num_queries num_events user_query model_sent final_sent edit_model_final apt specific imageable
3f3... Nelson Liu 0 0.0 Davinci first 0.93 1 54 I'm improving step by step. 27 0.5 0.0 0.5
3f3... Nelson Liu 1 0.06 Davinci first 1.05 1 52 That was a step back. That was a step back. 0 0.0 0.0 0.0