Apply explicitly selected dataset corrections
Browse files- README.md +15 -1
- SOURCES.md +47 -0
- data/test/StudyChat.parquet +3 -0
- data/train/StudyChat.parquet +3 -0
- data/validation/StudyChat.parquet +3 -0
README.md
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@@ -361,6 +361,17 @@ configs:
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- split: test
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path:
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- data/test/STAR.parquet
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- config_name: Taskmaster-4
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data_files:
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- split: train
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@@ -598,7 +609,7 @@ Roles are already oriented for user-simulator training:
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<!-- available-datasets:start -->
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## Available Datasets
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**Dataset count:
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Select an individual dataset by its name below, or use `default` for the combined collection.
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@@ -616,6 +627,9 @@ Datasets are grouped by behavioral category:
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"AMI", "Humanual-Email", "ICSI", "MutualFriends", "deli-corpus", "fomc-corpus", "gap-corpus",
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"llm-facilitation-corpus", "spolin-corpus"
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],
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"General Conversation & Social Interaction": [
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"Humanual-Chat", "LMSYS-Chat-1M", "MSC", "Topical-Chat", "chitchat-dataset"
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],
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- split: test
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path:
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- data/test/STAR.parquet
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- config_name: StudyChat
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data_files:
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- split: train
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path:
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- data/train/StudyChat.parquet
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- split: validation
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path:
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- data/validation/StudyChat.parquet
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- split: test
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path:
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- data/test/StudyChat.parquet
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- config_name: Taskmaster-4
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data_files:
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- split: train
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<!-- available-datasets:start -->
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## Available Datasets
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**Dataset count: 51**
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Select an individual dataset by its name below, or use `default` for the combined collection.
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"AMI", "Humanual-Email", "ICSI", "MutualFriends", "deli-corpus", "fomc-corpus", "gap-corpus",
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"llm-facilitation-corpus", "spolin-corpus"
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],
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"Education & Tutoring": [
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"StudyChat"
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],
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"General Conversation & Social Interaction": [
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"Humanual-Chat", "LMSYS-Chat-1M", "MSC", "Topical-Chat", "chitchat-dataset"
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],
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SOURCES.md
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@@ -300,3 +300,50 @@ of interior shared passages, semantic duplicates or external benchmark items.
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Anonymization placeholders and original AI errors remain in context. Every
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exported message was compared with source; sampled semantic review cannot
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establish the quality or human authorship of every individual record.
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Anonymization placeholders and original AI errors remain in context. Every
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exported message was compared with source; sampled semantic review cannot
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establish the quality or human authorship of every individual record.
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## StudyChat (OdysSim processed histories)
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Credit: Hunter McNichols, Fareya Ikram and Andrew Lan, *The StudyChat Dataset:
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Analyzing Student Dialogues With ChatGPT in an Artificial Intelligence Course*,
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LAK 2026. [Original dataset](https://huggingface.co/datasets/wmcnicho/StudyChat)
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and [paper](https://arxiv.org/abs/2503.07928).
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The original source documents consenting human students interacting with an AI
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assistant in UMass COMPSCI 383 and declares **CC BY 4.0**. Preserve the original
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source's terms; OdysSim's collection metadata does not relicense these records.
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No blanket license is assigned to this combined collection.
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Prepared source: [OdysSim split release](https://huggingface.co/datasets/Xuhui/sft_processed_large_split/tree/ee332b10508c0a6fbaa86d5de729c89d34f68964/studychat),
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revision `ee332b10508c0a6fbaa86d5de729c89d34f68964`. Original-source verification used revision
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`24d7987d9fbb30d9da12acc53455a10f1cdd2d7f`. All 2,214 supplied histories match an original snapshot
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after comparison-only outer whitespace trimming and omission of blank messages.
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Original interaction rows and complete conversation histories have different
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counts; no original-source interaction rows were additionally imported.
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Human student `user` messages become training-target `assistant` messages;
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AI tutor `assistant` messages become `user` context. Supplied system personas,
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retained text, order, message boundaries, consecutive speakers, and final
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student messages remain unchanged. No personas or dialogue are generated.
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The 11 tutor-first histories were verified against original history snapshots
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and retained without reordering. Source-recorded order is not an independent
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verification of real-world chronology. References to local code, files, or
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assignments and coherent requests for clarification remain in the dialogue;
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no unavailable material was fabricated or appended.
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Excluded 478 histories containing only one student message (440 train, 10
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validation, 28 test), and six shorter training prefixes in favor of their
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longer conversations. Retained personas are each longer record's own context.
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Counts: **1,523 train; 20 validation; 187 test; 1,730 total**.
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OdysSim assignments are unchanged, with `val` renamed to `validation`.
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Supplied personas are inferred context and may describe later dialogue. They
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are not verified prior student instructions. The splits share student IDs and
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are **not student-disjoint or verified leakage-free evaluations**. Original
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AI errors remain as context; this is a human-behavior training source rather
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than a set of verified tutoring answers.
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Full normalized dialogues and substantive full-prefix overlaps were checked
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within the retained source and against the published collection. This does
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not establish the absence of arbitrary semantic or interior-subsequence overlap.
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Every exported message was compared with its OdysSim source. Seeded samples,
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all 11 tutor-first histories, and all six prefix pairs were reviewed; sampled
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semantic checks do not establish the quality of every individual utterance.
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data/test/StudyChat.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:51588f34ed1bb7fb90014b88114e0ff43f6ad9bd114c418476c39439f5f1d5c0
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size 1471339
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data/train/StudyChat.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:98701683070e6d819132c28429aa6666e901c80bd9af610986563dc09ce5f0dc
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size 13375122
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data/validation/StudyChat.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9feafdd613c617701207a4c27be420c990300bef807e64b984b811174d4f7662
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size 165574
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