feat(agent): interaction quality ops & recipe, bad-case HTML report, and robust JSONL / HF meta loading by yxdyc · Pull Request #957 · datajuicer/data-juicer

yxdyc · 2026-03-25T07:46:35Z

Summary
This branch adds an agent / dialog interaction quality path (mappers, signals, optional LLM insight), a bad-case HTML report and supporting demos/tooling, and hardens JSONL loading and Hugging Face datasets usage for large integers / mixed folders. upstream/main is merged in so the branch is up to date for landing on main.

Agent & bad-case

End-to-end recipe and minimal_configs smoke paths for agent-facing pipelines.
Bad-case triage: structured signals, tiers, cohort-oriented reporting; HTML report (charts, drill-down, signal attribution).
Dialog / trace quality LLM mappers and related tests; multi-turn tool handling, history caps, and prompt truncation where relevant.
Report UX: macro distributions (tools, skills, intent/topic/sentiment), optional word clouds; insight sections omit PII-audit / redaction-heavy rows to avoid misleading narrative in excerpts (exports/drill-down unchanged).
agent_skill_insight_mapper: prompt tuned for short, concrete capability phrases (≈10 CJK chars / 4–8 English words) instead of vague “read/write / process” tags.

Data loading & config

Lenient JSONL: stdlib json, skip bad lines; avoid falling back to HF loader when a directory mixes .json and JSONL-style use cases.
HF datasets JSONL: optional stdlib json patch to avoid ujson “Value is too big” and related large integer issues.
Config / CLI: align with upstream build_base_parser() refactor after merging upstream/main.

Tests & docs

Tests for agent ops, bad-case/report smoke, dataset loading, and locale/prompt helpers where applicable.
Demos/agent README / maintainer notes, root README quick link, YAML / insights docs updates.

Made-with: Cursor

…igs conflicts (keep qwen-turbo + full 07 entity config) Made-with: Cursor

Made-with: Cursor

* preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor

…ale samples Made-with: Cursor

Made-with: Cursor

…ested on small-scale samples (#949) * preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor * end-to-end yaml, analysis toolchain, ui developed; tested on small-scale samples Made-with: Cursor

… evidence Made-with: Cursor

Made-with: Cursor

…truncation - Normalize LLM recommendation to list[str] in parse_output (fixes HF datasets shard align) - agent_dialog_normalize_mapper: configurable history caps, head+tail write-back, meta flag - dialog_* mappers: shared max_*_chars_for_prompt via dialog_llm_input_utils - Recipe/docs: agent_interaction_quality_analysis, PERFORMANCE_LLM, BAD_CASE_INSIGHTS - Tests: agent_dialog_normalize_mapper, llm_analysis_filter parse_output - build_op_doc: exclude dialog_llm_input_utils helper; video_camera_pose droid_args docstring Made-with: Cursor

…er + evidence, dialog history caps (#950) * preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor * end-to-end yaml, analysis toolchain, ui developed; tested on small-scale samples Made-with: Cursor * fix(agent): multi-turn tool dialog, bad-case gating, report zh-tier + evidence Made-with: Cursor * fix(agent): llm_quality record schema + dialog history caps & prompt truncation - Normalize LLM recommendation to list[str] in parse_output (fixes HF datasets shard align) - agent_dialog_normalize_mapper: configurable history caps, head+tail write-back, meta flag - dialog_* mappers: shared max_*_chars_for_prompt via dialog_llm_input_utils - Recipe/docs: agent_interaction_quality_analysis, PERFORMANCE_LLM, BAD_CASE_INSIGHTS - Tests: agent_dialog_normalize_mapper, llm_analysis_filter parse_output - build_op_doc: exclude dialog_llm_input_utils helper; video_camera_pose droid_args docstring Made-with: Cursor

Bad-case report (generate_bad_case_report.py): - CJK fonts for matplotlib/body; bar labels; section order (charts → insights → cases) - LLM page-top summary: compact digest, shorter prompt/tokens/timeout; default qwen3.5-plus - Drilldown: page cap + sidecar *_drilldown_full.jsonl; copy and nav tweaks - Richer agent_insight_llm cards; rule-based fallback summary agent_dialog_normalize_mapper: - Stable HF Arrow meta: always agent_dialog_history_compressed bool; list[str] placeholders for empty tool/skill types; filter falsy in tool_type_mapper and skill_insight_mapper Pipeline: run_bad_case_pipeline report uses argv array safe under set -u; BAD_CASE_REPORT_LLM=1 Tests + recipe yaml aligned. Made-with: Cursor

…malize, tests, yaml) Made-with: Cursor

#951) * preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor * end-to-end yaml, analysis toolchain, ui developed; tested on small-scale samples Made-with: Cursor * fix(agent): multi-turn tool dialog, bad-case gating, report zh-tier + evidence Made-with: Cursor * fix(agent): llm_quality record schema + dialog history caps & prompt truncation - Normalize LLM recommendation to list[str] in parse_output (fixes HF datasets shard align) - agent_dialog_normalize_mapper: configurable history caps, head+tail write-back, meta flag - dialog_* mappers: shared max_*_chars_for_prompt via dialog_llm_input_utils - Recipe/docs: agent_interaction_quality_analysis, PERFORMANCE_LLM, BAD_CASE_INSIGHTS - Tests: agent_dialog_normalize_mapper, llm_analysis_filter parse_output - build_op_doc: exclude dialog_llm_input_utils helper; video_camera_pose droid_args docstring Made-with: Cursor * feat(agent): bad-case HTML report UX + HF meta stability for normalize Bad-case report (generate_bad_case_report.py): - CJK fonts for matplotlib/body; bar labels; section order (charts → insights → cases) - LLM page-top summary: compact digest, shorter prompt/tokens/timeout; default qwen3.5-plus - Drilldown: page cap + sidecar *_drilldown_full.jsonl; copy and nav tweaks - Richer agent_insight_llm cards; rule-based fallback summary agent_dialog_normalize_mapper: - Stable HF Arrow meta: always agent_dialog_history_compressed bool; list[str] placeholders for empty tool/skill types; filter falsy in tool_type_mapper and skill_insight_mapper Pipeline: run_bad_case_pipeline report uses argv array safe under set -u; BAD_CASE_REPORT_LLM=1 Tests + recipe yaml aligned. Made-with: Cursor

- Add DATA_JUICER_USE_STDLIB_JSON env patch in init_configs - Document workaround in config_all.yaml and DatasetCfg guides Made-with: Cursor

* preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor * end-to-end yaml, analysis toolchain, ui developed; tested on small-scale samples Made-with: Cursor * fix(agent): multi-turn tool dialog, bad-case gating, report zh-tier + evidence Made-with: Cursor * fix(agent): llm_quality record schema + dialog history caps & prompt truncation - Normalize LLM recommendation to list[str] in parse_output (fixes HF datasets shard align) - agent_dialog_normalize_mapper: configurable history caps, head+tail write-back, meta flag - dialog_* mappers: shared max_*_chars_for_prompt via dialog_llm_input_utils - Recipe/docs: agent_interaction_quality_analysis, PERFORMANCE_LLM, BAD_CASE_INSIGHTS - Tests: agent_dialog_normalize_mapper, llm_analysis_filter parse_output - build_op_doc: exclude dialog_llm_input_utils helper; video_camera_pose droid_args docstring Made-with: Cursor * feat(agent): bad-case HTML report UX + HF meta stability for normalize Bad-case report (generate_bad_case_report.py): - CJK fonts for matplotlib/body; bar labels; section order (charts → insights → cases) - LLM page-top summary: compact digest, shorter prompt/tokens/timeout; default qwen3.5-plus - Drilldown: page cap + sidecar *_drilldown_full.jsonl; copy and nav tweaks - Richer agent_insight_llm cards; rule-based fallback summary agent_dialog_normalize_mapper: - Stable HF Arrow meta: always agent_dialog_history_compressed bool; list[str] placeholders for empty tool/skill types; filter falsy in tool_type_mapper and skill_insight_mapper Pipeline: run_bad_case_pipeline report uses argv array safe under set -u; BAD_CASE_REPORT_LLM=1 Tests + recipe yaml aligned. Made-with: Cursor * fix: optional stdlib json for HF datasets JSONL (ujson Value too big) - Add DATA_JUICER_USE_STDLIB_JSON env patch in init_configs - Document workaround in config_all.yaml and DatasetCfg guides Made-with: Cursor

- Add load_jsonl_lenient config and DATA_JUICER_JSONL_LENIENT env - Stream jsonl-only inputs via Dataset.from_generator; document in DatasetCfg - Add unit tests for jsonl_lenient_loader Made-with: Cursor

…and config_all Made-with: Cursor

* preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor * end-to-end yaml, analysis toolchain, ui developed; tested on small-scale samples Made-with: Cursor * fix(agent): multi-turn tool dialog, bad-case gating, report zh-tier + evidence Made-with: Cursor * fix(agent): llm_quality record schema + dialog history caps & prompt truncation - Normalize LLM recommendation to list[str] in parse_output (fixes HF datasets shard align) - agent_dialog_normalize_mapper: configurable history caps, head+tail write-back, meta flag - dialog_* mappers: shared max_*_chars_for_prompt via dialog_llm_input_utils - Recipe/docs: agent_interaction_quality_analysis, PERFORMANCE_LLM, BAD_CASE_INSIGHTS - Tests: agent_dialog_normalize_mapper, llm_analysis_filter parse_output - build_op_doc: exclude dialog_llm_input_utils helper; video_camera_pose droid_args docstring Made-with: Cursor * feat(agent): bad-case HTML report UX + HF meta stability for normalize Bad-case report (generate_bad_case_report.py): - CJK fonts for matplotlib/body; bar labels; section order (charts → insights → cases) - LLM page-top summary: compact digest, shorter prompt/tokens/timeout; default qwen3.5-plus - Drilldown: page cap + sidecar *_drilldown_full.jsonl; copy and nav tweaks - Richer agent_insight_llm cards; rule-based fallback summary agent_dialog_normalize_mapper: - Stable HF Arrow meta: always agent_dialog_history_compressed bool; list[str] placeholders for empty tool/skill types; filter falsy in tool_type_mapper and skill_insight_mapper Pipeline: run_bad_case_pipeline report uses argv array safe under set -u; BAD_CASE_REPORT_LLM=1 Tests + recipe yaml aligned. Made-with: Cursor * fix: optional stdlib json for HF datasets JSONL (ujson Value too big) - Add DATA_JUICER_USE_STDLIB_JSON env patch in init_configs - Document workaround in config_all.yaml and DatasetCfg guides Made-with: Cursor * feat: lenient JSONL load (stdlib json, skip bad lines) - Add load_jsonl_lenient config and DATA_JUICER_JSONL_LENIENT env - Stream jsonl-only inputs via Dataset.from_generator; document in DatasetCfg - Add unit tests for jsonl_lenient_loader Made-with: Cursor

Mixed extensions previously forced HuggingFace JSON loader and ujson (Value too big). Now only jsonl* shards are read; others are skipped with warnings. Log line [lenient jsonl] ACTIVE confirms the path. Made-with: Cursor

…vior Made-with: Cursor

) * preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor * end-to-end yaml, analysis toolchain, ui developed; tested on small-scale samples Made-with: Cursor * fix(agent): multi-turn tool dialog, bad-case gating, report zh-tier + evidence Made-with: Cursor * fix(agent): llm_quality record schema + dialog history caps & prompt truncation - Normalize LLM recommendation to list[str] in parse_output (fixes HF datasets shard align) - agent_dialog_normalize_mapper: configurable history caps, head+tail write-back, meta flag - dialog_* mappers: shared max_*_chars_for_prompt via dialog_llm_input_utils - Recipe/docs: agent_interaction_quality_analysis, PERFORMANCE_LLM, BAD_CASE_INSIGHTS - Tests: agent_dialog_normalize_mapper, llm_analysis_filter parse_output - build_op_doc: exclude dialog_llm_input_utils helper; video_camera_pose droid_args docstring Made-with: Cursor * feat(agent): bad-case HTML report UX + HF meta stability for normalize Bad-case report (generate_bad_case_report.py): - CJK fonts for matplotlib/body; bar labels; section order (charts → insights → cases) - LLM page-top summary: compact digest, shorter prompt/tokens/timeout; default qwen3.5-plus - Drilldown: page cap + sidecar *_drilldown_full.jsonl; copy and nav tweaks - Richer agent_insight_llm cards; rule-based fallback summary agent_dialog_normalize_mapper: - Stable HF Arrow meta: always agent_dialog_history_compressed bool; list[str] placeholders for empty tool/skill types; filter falsy in tool_type_mapper and skill_insight_mapper Pipeline: run_bad_case_pipeline report uses argv array safe under set -u; BAD_CASE_REPORT_LLM=1 Tests + recipe yaml aligned. Made-with: Cursor * fix: optional stdlib json for HF datasets JSONL (ujson Value too big) - Add DATA_JUICER_USE_STDLIB_JSON env patch in init_configs - Document workaround in config_all.yaml and DatasetCfg guides Made-with: Cursor * feat: lenient JSONL load (stdlib json, skip bad lines) - Add load_jsonl_lenient config and DATA_JUICER_JSONL_LENIENT env - Stream jsonl-only inputs via Dataset.from_generator; document in DatasetCfg - Add unit tests for jsonl_lenient_loader Made-with: Cursor * fix(lenient jsonl): do not fall back to HF when folder mixes .json Mixed extensions previously forced HuggingFace JSON loader and ujson (Value too big). Now only jsonl* shards are read; others are skipped with warnings. Log line [lenient jsonl] ACTIVE confirms the path. Made-with: Cursor

* use list type for the arg to avoid ckpt failure

…ests - Add dialog_* LLM axis mappers, trace coherence, tool relevance, PII suspect - agent_output_locale; extend bad-case signals, insight & usage/tool mappers - generate_bad_case_report: TOC/sidebar, insight↔drill links, snapshot 算子 row - Recipe/docs/Operators.md/pyproject; mapper & locale tests - build_op_doc: exclude dialog_quality_llm_utils (helper, not an OP) Made-with: Cursor

…s handling

- HTML report: macro distributions (tools, skills, intent/topic/sentiment) with bar charts and optional word clouds; TOC and chart section wiring. - Omit PII audit / redaction–related samples from high_precision and watchlist insight excerpts (drilldown/export unchanged). - agent_skill_insight_mapper: prompt asks for concrete ~10-char (zh) / 4–8-word (en) capability phrases; forbid vague read/write–style tags. - Docs: root README link to demos/agent; maintainer checklist in demos/agent README; YAML/minimal_configs notes. - Tests: generate_bad_case_report smoke (PII omission); agent_skill_insight prompt assertions. Made-with: Cursor

upstream: https://github.com/datajuicer/data-juicer.git Resolve config.py conflict by using build_base_parser(); take upstream uv.lock (validated with uv lock --check). Made-with: Cursor

…ot registered into the OPERATORS

docs/Operators.md

- agent_skill_insight_mapper: split labels on ,，、;； for CN/EN separators - generate_bad_case_report: mirror split in macro stats (no re-run required) - Optional semantic clustering for insight headlines/audit (scikit-learn) - Insight model tabs: default full model id, family mode flag; order by batch volume - Stack request_model chart: Top 5 by requests + merged remainder bar - Extend model family hints (Kimi, GLM, MiniMax); tab/chart copy updates - Smoke tests: PII omission, skill-insight macro split; --no-insight-semantic-cluster in PII run Made-with: Cursor

ShenQianli · 2026-03-30T03:43:10Z

data_juicer/ops/mapper/agent_bad_case_signal_mapper.py

+            tier = "high_precision"
+        elif len(mediums) >= self.min_medium_signals_for_watchlist:
+            tier = "watchlist"
+        elif len(signals) == 1 and signals[0].get("weight") == "medium":


When self.min_medium_signals_for_watchlist == 2, a sample with a single medium signal will be added to the watchlist. Not sure if it is intended.

ShenQianli · 2026-03-30T04:03:26Z

data_juicer/ops/mapper/usage_counter_mapper.py

+    p = sum(u.get("prompt_tokens") or 0 for u in usages)
+    c = sum(u.get("completion_tokens") or 0 for u in usages)
+    totals = [u.get("total_tokens") for u in usages if u.get("total_tokens") is not None]
+    t = totals[0] if totals else None


total_tokens is taken from the first non-null entry. Given the limited information available about the raw data contract, it is unclear whether this always matches the intended aggregation logic.

cmgzn · 2026-03-30T04:04:18Z

data_juicer/config/config_all.yaml

+#   load_jsonl_lenient: true
+#   # or: DATA_JUICER_JSONL_LENIENT=1
 load_dataset_kwargs: {}                                     # extra kwargs passed to datasets.load_dataset(). Useful for format-specific options, e.g. chunksize (JSON), columns (Parquet), delimiter (CSV).
+load_jsonl_lenient: false                                    # if true, stream jsonl* shards with stdlib json and skip bad lines; other suffixes in the same folder are ignored (not HF fallback). Confirm logs contain "[lenient jsonl] ACTIVE".


Suggest adding --load_jsonl_lenient parser argument in config.py

Enables command-line passing and better external access for tools like dj-agents.

PII / redaction: - Expand pii_redaction_mapper (PEM/JWT/URL/IP/MAC ordering, optional extended PII) with tests. - pii_llm_suspect_mapper: spaCy install/locks, safer logging; prompts mention URL/IP/MAC/JWT/PEM leaks. Reporting / demo: - generate_bad_case_report: non-PII vs PII-flagged insight subsections; minimal PII cards; headline clusters use non-PII rows only; align redaction placeholders for grouping. - agent_interaction_quality_analysis.yaml: pii_redaction indentation and default-behavior comment. Recent branch history (already on upstream before this commit): - OP doc build skips unregistered base classes; accelerator assignment fix; nested-query dict guard; bad-case report + skill insight parsing enrichments. Made-with: Cursor

- Default writes safe HTML plus *_pii_audit.html; --report-pii-variants safe|audit|both - Case study: ~half high_precision / half watchlist quota with spillover - Reuse char TF-IDF + MiniBatchKMeans round-robin for Insight cards and case-study page - Remove in-page PII minimal-card split; safe variant omits PII rows from insight + drill - run_bad_case_pipeline.sh echoes audit path; smoke tests updated Made-with: Cursor

- New section #sec-dialog-metrics: messages length, user turns, agent_turn_count, text chars, choices length, tool-touch message count, tokens (meta then stats), latency. - Optional matplotlib histograms when --no-charts is off; TOC and charts intro link to section. - Smoke test asserts sec-dialog-metrics anchor. Made-with: Cursor

- Repeatable --input in generate_bad_case_report and verify; load_merged_rows reads paths in order. - run_bad_case_pipeline report: multiple JSONL, optional trailing OUT.html. - Multi-input: compact page meta and bottom #sec-data-provenance details for audit. Made-with: Cursor

yxdyc and others added 30 commits March 16, 2026 15:44

poc of agent-related ops

ec431ed

Made-with: Cursor

preliminary test of minimal_configs (01 to 05)

6ce2376

Made-with: Cursor

preliminary test of minimal_configs (01 to 05) (#944)

6430ee3

test of minimal_configs (06 to 08), optimize some ops

7f65573

Made-with: Cursor

Merge datajuicer/agent_op_dev into agent_op_dev; resolve minimal_conf…

089acc7

…igs conflicts (keep qwen-turbo + full 07 entity config) Made-with: Cursor

conflits resolved and gemini'suggestion adopted

2c2708e

Made-with: Cursor

test of minimal_configs (06 to 08); optimize some agent ops (#947)

673bf16

* preliminary test of minimal_configs (01 to 05) Made-with: Cursor * test of minimal_configs (06 to 08), optimize some ops Made-with: Cursor * conflits resolved and gemini'suggestion adopted Made-with: Cursor

end-to-end yaml, analysis toolchain, ui developed; tested on small-sc…

6d9cbec

…ale samples Made-with: Cursor

merge modelscope/agent_op_dev; resolve conflicts preferring yxdyc (ours)

886adaa

Made-with: Cursor

fix(agent): multi-turn tool dialog, bad-case gating, report zh-tier +…

a88be52

… evidence Made-with: Cursor

merge modelscope/agent_op_dev; resolve conflicts keeping fork (ours)

bb4b6d3

Made-with: Cursor

merge modelscope/agent_op_dev; keep fork implementations (report, nor…

070c4b8

…malize, tests, yaml) Made-with: Cursor

fix: optional stdlib json for HF datasets JSONL (ujson Value too big)

74e17f6

- Add DATA_JUICER_USE_STDLIB_JSON env patch in init_configs - Document workaround in config_all.yaml and DatasetCfg guides Made-with: Cursor

feat: lenient JSONL load (stdlib json, skip bad lines)

0596de0

- Add load_jsonl_lenient config and DATA_JUICER_JSONL_LENIENT env - Stream jsonl-only inputs via Dataset.from_generator; document in DatasetCfg - Add unit tests for jsonl_lenient_loader Made-with: Cursor

merge modelscope/agent_op_dev; keep lenient jsonl docs in DatasetCfg …

a7c3988

…and config_all Made-with: Cursor

merge modelscope/agent_op_dev; keep lenient jsonl skip-non-jsonl beha…

181e29c

…vior Made-with: Cursor

* no need to convert to str

0c14660

* use list type for the arg to avoid ckpt failure

merge modelscope/agent_op_dev: checkpoint list arg; llm_analysis flag…

66674dd

…s handling

Merge remote-tracking branch 'upstream/main' into agent_op_dev

ff67b07

upstream: https://github.com/datajuicer/data-juicer.git Resolve config.py conflict by using build_base_parser(); take upstream uv.lock (validated with uv lock --check). Made-with: Cursor

HYLcool requested a deployment to Testing March 25, 2026 08:35 — with GitHub Actions Waiting

* update op doc building logics: remove those base classes that are n…

66f209c

…ot registered into the OPERATORS

HYLcool requested a deployment to Testing March 25, 2026 09:11 — with GitHub Actions Waiting

* fix accelerator assignment

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yxdyc commented Mar 27, 2026

View reviewed changes

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* check if it's a dict before nested query

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ShenQianli reviewed Mar 30, 2026

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feat(agent): interaction quality ops & recipe, bad-case HTML report, and robust JSONL / HF meta loading#957

feat(agent): interaction quality ops & recipe, bad-case HTML report, and robust JSONL / HF meta loading#957
yxdyc wants to merge 39 commits intomainfrom
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yxdyc commented Mar 25, 2026

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yxdyc commented Mar 25, 2026

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