ajayvikram commited on
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257d04a
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1 Parent(s): 0710b8d

Apply explicitly selected dataset corrections

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README.md CHANGED
@@ -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: Deal or No Deal
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  data_files:
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  - split: train
@@ -609,7 +620,7 @@ 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: 51**
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  Select an individual dataset by its name below, or use `default` for the combined collection.
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@@ -631,7 +642,7 @@ Datasets are grouped by behavioral category:
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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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  "Information Seeking & Clarification": [
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  "FITS", "news-interview", "wizard_of_internet", "wizard_of_wikipedia"
 
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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: DailyDialog
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+ data_files:
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+ - split: train
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+ path:
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+ - data/train/DailyDialog.parquet
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+ - split: validation
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+ path:
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+ - data/validation/DailyDialog.parquet
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+ - split: test
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+ path:
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+ - data/test/DailyDialog.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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  <!-- available-datasets:start -->
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  ## Available Datasets
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+ **Dataset count: 52**
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  Select an individual dataset by its name below, or use `default` for the combined collection.
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  "StudyChat"
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  ],
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  "General Conversation & Social Interaction": [
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+ "DailyDialog", "Humanual-Chat", "LMSYS-Chat-1M", "MSC", "Topical-Chat", "chitchat-dataset"
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  ],
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  "Information Seeking & Clarification": [
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  "FITS", "news-interview", "wizard_of_internet", "wizard_of_wikipedia"
SOURCES.md CHANGED
@@ -347,3 +347,62 @@ 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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  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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+
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+ ## DailyDialog
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+
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+ Credit: Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao and Shuzi Niu,
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+ *DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset*, IJCNLP 2017.
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+ [Paper](https://aclanthology.org/I17-1099/) and
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+ [original dataset card](https://huggingface.co/datasets/li2017dailydialog/daily_dialog).
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+ The source describes human-written everyday dialogues. This authorship designation does not independently
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+ establish that every example records a spontaneous real-world interaction. Two speakers are assigned using the release's
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+ alternating-turn convention, not verified real-world participant identities.
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+
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+ Downloaded source: [original-format mirror](https://huggingface.co/datasets/roskoN/dailydialog/tree/5214b2a66405abf87fd229e5c1007985501ffe3e),
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+ revision `5214b2a66405abf87fd229e5c1007985501ffe3e`. The original website no longer serves its archive.
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+ The three mirrored split ZIPs were verified against published sizes and SHA-256
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+ hashes and parsed directly; the mirror's loader was not executed. Mirror
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+ provenance is explicit: this is not an independently byte-verified copy fetched
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+ from the defunct original host.
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+
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+ The original and mirror declare **CC BY-NC-SA 4.0**. This DailyDialog-derived
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+ contribution is distributed under the same terms, with the transformation
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+ notice below. [License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
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+ These source-specific terms do not assign a blanket license to this collection.
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+
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+ Changes: first retain only the first block in eight source records that repeat
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+ the entire dialogue (seven train, one validation); 67 repeated turns removed.
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+ The retained first-block wording and annotations remain unchanged. Then create
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+ two perspectives per retained dialogue; each target human's speech
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+ becomes `assistant` and the other speaker becomes `user`. Removed `__eou__`
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+ structural separators and their trailing non-message segment. All utterance
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+ wording, punctuation, spelling, whitespace, boundaries and ordering are
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+ preserved after the explicit repeated-block cleanup. No system messages, personas, speaker prefixes, dialogue-act labels
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+ or emotion labels are inserted. Original annotations remain in local audits.
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+ No speech or personas were generated.
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+
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+ Native input: 11,118 train, 1,000 validation and 1,000 test conversations.
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+ Removed 746 complete normalized duplicate copies and 31 substantive complete-
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+ prefix counterparts. Priority is test, then validation, then train; within a
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+ split, keep the longest version, using original line order for ties. Complete
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+ exact duplicate ties use the earliest source line. Every retained record stays
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+ in its original split. Seven longer training copies were excluded to protect
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+ shorter held-out conversations. Distinct continuations remain separate.
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+
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+ Retained conversations: 10,355 train; 991 validation; 995 test (12,341 total).
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+ Exported perspectives: **20,710 train; 1,982 validation; 1,990 test; 24,682 total**.
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+ Both perspectives of each conversation remain in the same split. IDs encode
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+ original split, zero-based source line and target speaker (1 or 2).
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+
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+ Comparison uses NFC/whitespace normalization, merged same-speaker runs and
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+ orientation canonicalization, ignoring system text only for comparison.
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+ Prefixes must cover at least four turns and 200 normalized characters.
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+ Retained records were checked against the existing published collection, with
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+ no exact or qualifying full-prefix matches. This is not a guarantee against
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+ semantic, interior-subsequence or participant-level leakage.
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+
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+ Every output message was compared with the source transformation; all three
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+ splits were loaded using Hugging Face datasets. Five seeded conversations per
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+ split, all eight repeated-block repairs, and all 31 prefix-removal decisions
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+ were reviewed. Sampled semantic
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+ review does not establish the quality of every utterance.
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data/validation/DailyDialog.parquet ADDED
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