Apply explicitly selected dataset corrections
Browse files- README.md +14 -2
- SOURCES.md +20 -0
- data/test/Deal or No Deal.parquet +3 -0
- data/train/Deal or No Deal.parquet +3 -0
- data/validation/Deal or No Deal.parquet +3 -0
README.md
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@@ -97,6 +97,17 @@ configs:
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- split: test
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path:
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- data/test/CraigslistBargains.parquet
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- config_name: DuRecDial-2.0
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data_files:
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- split: train
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@@ -477,7 +488,7 @@ 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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@@ -502,7 +513,8 @@ Datasets are grouped by behavioral category:
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"news-interview", "wizard_of_internet", "wizard_of_wikipedia"
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],
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"Negotiation, Persuasion & Debate": [
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"CaSiNo", "CraigslistBargains", "
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],
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"Preferences & Recommendations": [
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"CCPE-M", "DuRecDial-2.0", "INSPIRED", "OpenDialKG", "Redial"
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- split: test
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path:
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- data/test/CraigslistBargains.parquet
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- config_name: Deal or No Deal
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data_files:
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- split: train
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path:
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- data/train/Deal or No Deal.parquet
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- split: validation
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path:
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- data/validation/Deal or No Deal.parquet
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- split: test
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path:
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- data/test/Deal or No Deal.parquet
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- config_name: DuRecDial-2.0
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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: 40**
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Select an individual dataset by its name below, or use `default` for the combined collection.
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"news-interview", "wizard_of_internet", "wizard_of_wikipedia"
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],
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"Negotiation, Persuasion & Debate": [
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"CaSiNo", "CraigslistBargains", "Deal or No Deal", "contextual-abuse", "diplomacy-corpus",
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"iq2-corpus"
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],
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"Preferences & Recommendations": [
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"CCPE-M", "DuRecDial-2.0", "INSPIRED", "OpenDialKG", "Redial"
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SOURCES.md
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@@ -95,3 +95,23 @@ context. Speech wording, boundaries and order are unchanged. New approximately
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training-only release. No generated personas or action paraphrases are added.
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Some retained speech refers to removed selection events; this conversion does not
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claim every exchange is self-contained without the original interface.
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training-only release. No generated personas or action paraphrases are added.
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Some retained speech refers to removed selection events; this conversion does not
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claim every exchange is self-contained without the original interface.
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## Deal or No Deal
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Original release: [Facebook AI Research, end-to-end-negotiator](https://github.com/facebookresearch/end-to-end-negotiator/tree/bbb93bbf00f69fced75d5c0d22e855bda07c9b78).
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The source LICENSE is [CC BY-NC 4.0](https://github.com/facebookresearch/end-to-end-negotiator/blob/bbb93bbf00f69fced75d5c0d22e855bda07c9b78/LICENSE).
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These source-specific terms apply to the reformatted files and do not change
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licenses of other datasets in this collection.
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Changes: preserve the existing participant perspectives once each; target speech
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becomes assistant, other speech becomes user. Formatting markers and selection
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actions are removed. The target's own item quantities and per-item utilities
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are formatted as system context; opponent utilities and final allocations are
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not included. Released speech strings and official splits are preserved, with
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val named validation. Single-utterance records are excluded; valid unmatched
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perspectives and failed negotiations remain. No missing counterpart is generated.
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The downloaded release has 12,234 perspective records. Removing 64 single-utterance
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records leaves 12,170, including 338 unmatched perspectives. Counterpart groups
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are inferred from ordered speech and aligned goals; original dialogue IDs are
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not supplied, so exported IDs identify native split files and line numbers.
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data/test/Deal or No Deal.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a51374f67941b3b2602ce3c46a191b8b9fbf47277528d75b2f07bb7003b734c1
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size 74342
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data/train/Deal or No Deal.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f6486935319c0432c8cc77315d10c5b2c97e84eb87ca9e17faac7abc2dc7778
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size 700311
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data/validation/Deal or No Deal.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f02b5741a5b534b99744c9c12745209472781877432add738efa0d7de0b28fc
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size 77159
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